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Which of the following seems to be the most appropriate “Pearson correlation coefficient” for this relationship?

July 27, 2021
Christopher R. Teeple

Question 13 pts(Multiple choice questions are worth 3 points each)_____________ data is information collected specifically for the specific purpose at hand. In contrast, ______________ data is information previously collected for some other research or issue.Group of answer choicesprimary, standardsecondary, standardsecondary, primaryprimary, customizedprimary, secondaryFlag question: Question 2Question 23 ptsA research shows that there exists a very strong relationship between prices and sales. As prices increase, sales go down immediately. Which of the following seems to be the most appropriate “Pearson correlation coefficient” for this relationship? Group of answer choices0.90-0.500.010.50-0.90Flag question: Question 3Question 33 ptsWhich of the following tests is designed to examine the impact of multiple independent variables on a dependent variable at the same time? Group of answer choicesone-way tabulationbivariate regressionn-way ANOVAone-way ANOVAt-testFlag question: Question 4Question 43 ptsA retailer is interested in studying if the number of coupons distributed in stores affects the amount of money people spend during a store visit. In this case, the independent variable is:Group of answer choicesthe store location.the average amount of money spent by shoppers in the store.the number of coupons distributed in stores.the average number of shoppers visiting the store per day.Flag question: Question 5Question 53 ptsIn the straight-line formula Y = a + bX + ei that is used for regression analysis, X is the:Group of answer choicesindependent variabledependent variableslopeintercepterror for the predictionFlag question: Question 6Question 63 ptsIn the SPSS Data View, each row represents:Group of answer choiceseach question of the surveyeach respondenteach missing dataeach location where the survey was conductedscale used in each questionFlag question: Question 7Question 73 ptsIn sample 1, the age of respondents varies from 29 to 50 years. In sample 2, the age of respondents varies from 15 to 75. Based on age information, sample 2 must have a higher ____ than that of sample 1. Group of answer choicesmedianstandard deviationrangemeanfrequency distributionFlag question: Question 8Question 83 ptsExternal validity is the: Group of answer choiceslevel of preparation required to create an appropriate environment for the respondent.the degree to which the researcher can rule out the alternative explanations.degree to which a question leads the participant to give a socially desirable response.degree to which the researcher identifies a correct causal relationship between variables.degree to which the results of a research are generalizable to represent the population.Flag question: Question 9Question 93 ptsWhen a researcher fails to provide a proper explanation for the data presented in the tables, which of the following problems would he/she mostly have? Group of answer choicesLack of data interpretationUnnecessary use of multivariate statisticsToo much emphasis on too few statisticsLack of relevanceLack of executive summaryFlag question: Question 10Question 103 ptsIf a marketing manager wants to be 95% certain of a result in a statistical test, in SPSS, the significance level should be set at: Group of answer choices0.100.900.000.050.95Flag question: Question 11Question 113 ptsMulticollinearity is: Group of answer choicesa statistical technique which analyzes the linear relationship between a dependent variable and an independent variablea test of one variable at a timea statistical analysis that estimates the regression equation coefficientsa method for counting the number of responses in each categorya situation in which several independent variables are highly correlated with each otherFlag question: Question 12Question 123 ptsWhich one of the following is NOT correct about the three research types?Group of answer choicesDescriptive research designs can describe events and purchase behavior of consumers.Causal research designs are used when the researcher wants to determine a cause & effect relationship.Causal research is best conducted by experiments.Descriptive research designs are conducted by letting participants talk and express themselves as much as they want.Exploratory research designs are used to gain preliminary insights.Flag question: Question 13Question 133 ptsWhich one of the following is NOT one the four questions that a researcher should ask in order to describe a relationship between two variables?Group of answer choicesIs the relationship linear or curvilinear?Are these independent or related samples?Is there a relationship between the two variables?How strong is the relationship?What is the direction of the relationship?Flag question: Question 14Question 143 ptsIn a one-way ANOVA, the term “one-way” is used because: Group of answer choicesonly one independent variable is used in the analysis.only one dependent variable is used in the analysis.the standard deviation is always positive.the null hypothesis always states that there is no difference between the groups.the difference between the compared means is always positive.Flag question: Question 15Question 153 ptsWhich of the following is an indicator of how dissimilar participants’ responses are to a particular question in a survey? Group of answer choicesModeMedianMeanStandard deviationFlag question: Question 16Question 163 ptsWhich of the following statements is false regarding hypotheses?Group of answer choicesThe alternative hypothesis (Ha) states that there is a relationship between variables.Hypotheses are developed prior to data collection.Hypotheses may be derived from previous research, theory, or the current business situation.A hypothesis is an unproven supposition.The null hypothesis (Ho) states that there is a relationship between variables.Flag question: Question 17Question 173 pts(True/false questions are worth 3 points each)The strength of a relationship between two variables is determined by the size of the “correlation coefficient.” Group of answer choicesTrueFalseFlag question: Question 18Question 183 ptsIf a researcher predicts that “as consumers pay more for the same product, they will be less likely to purchase that product again,” then she expects to find a positive relationship between price and likelihood to repurchase.Group of answer choicesTrueFalseFlag question: Question 19Question 193 ptsThe “mode” is the middle value of a rank ordered distribution, such that exactly half of the responses are above and half of them are below the mode.Group of answer choicesTrueFalseFlag question: Question 20Question 203 pts“Coding” means assigning numerical values to participants’ responses to survey questions.Group of answer choicesTrueFalseFlag question: Question 21Question 213 pts“ANOVA” cannot always identify which pairs of means are significantly different from each other if there are more than 2 groups. Then, we use the Scheffe follow-up tests to find where the differences lie.Group of answer choicesTrueFalseFlag question: Question 22Question 226 pts(Open-ended questions are worth 6 points each, except for the last question which is worth 7 points)Briefly explain the four criteria used to assess “relationships between variables.” (Hint: presence, direction, strength, type). VERY IMPORTANT: THIS NEEDS TO BE YOUR OWN WORK. Please DO NOT COPY from the slides, from other websites, and from each other. Not only you will get a zero, but there will be some academic integrity-related consequences.View keyboard shortcutspView keyboard shortcutsAccessibility Checker0 wordsSwitch to html editorFullscreenFlag question: Question 23Question 236 ptsBriefly explain the independent samples and paired (related) samples and give an example for each. VERY IMPORTANT: THIS NEEDS TO BE YOUR OWN WORK. Please DO NOT COPY from the slides, from other websites, and from each other. Not only you will get a zero, but there will be some academic integrity-related consequences.View keyboard shortcutspView keyboard shortcutsAccessibility Checker0 wordsSwitch to html editorFullscreenFlag question: Question 24Question 246 ptsWhat is the difference between “one-way ANOVA” and “n-way ANOVA”?VERY IMPORTANT: THIS NEEDS TO BE YOUR OWN WORK. Please DO NOT COPY from the slides, from other websites, and from each other. Not only you will get a zero, but there will be some academic integrity-related consequences.View keyboard shortcutspView keyboard shortcutsAccessibility Checker0 wordsSwitch to html editorFullscreenFlag question: Question 25Question 256 ptsPlease carefully examine the SPSS output below. This is the output of a Pearson correlation test. Here, the variables are:“how satisfied customers are with this restaurant” where 1 means “very unsatisfied” and 7 means “very satisfied”
“how likely the clients are to return to the restaurant” where 1 means “unlikely” and 7 means “very likely.”
Please interpret the results shown in this output and state what the finding is. Specifically,comment on the significance
comment on the correlation coefficient
and write a conclusive statement explaining the direction and strength of this relationship.
CorrelationsSatisfaction Likelihood to ReturnSatisfactionPearson Correlation1.824**Sig. (2-tailed).000N405405Likelihood to ReturnPearson Correlation.824**1Sig. (2-tailed).000N405405View keyboard shortcutspView keyboard shortcutsAccessibility Checker0 wordsSwitch to html editorFullscreenFlag question: Question 26Question 266 ptsPlease carefully examine the SPSS output below. This is the output of a multiple regression analysis. Here, the independent variables are:“food taste” where 1 means “very bad” and 7 means “excellent”;
“service” where 1 means “very bad” and 7 means “excellent”.
The dependent variable is “how likely customers are to recommend this restaurant to others” where 1 means “very unlikely” and 7 means “very likely.”Please interpret the results shown in this output and state what the finding is. Specifically,comment on the significance found for each independent variable
comment on the coefficient of each independent variable
and write a conclusive statement explaining the results.
CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta(Constant)1.798.3005.990.000Food Taste.421.051.3818.192.000Service-.090.054-.078-.980.196View keyboard shortcutspView keyboard shortcutsAccessibility Checker0 wordsSwitch to html editorFullscreenFlag question: Question 27Question 277 pts(This question is worth 7 points)Please carefully examine the two tables of the SPSS output below. This is the output of an n-way ANOVA. Here, the independent variables are “age” and “number of children the participant has.”Age is coded by using three groups. Group 1 consists of participants between 18 and 25, Group 2 represents those between 26 and 34 , and Group 3 represents those between 35 and 49.Also, if the participant has no children, number of children is coded as zero; whereas if the participant has 1 or 2 children, it is coded as one.The dependent variable is “how likely the clients are to return to the restaurant” where 1 means “unlikely” and 7 means “very likely.”Please interpret the results shown in this output and state what the finding is. Specifically,comment on the significances
comment on the means
and write a conclusive statement explaining the results.
AgeNumber_of_Children_at_HomeMeanStd. DeviationN18 – 25No Children at Home5.00.11-2 Children at Home4.61.89123Total4.63.8752426 – 34No Children at Home4.00.816161-2 Children at Home4.42.66912Total4.18.7722835 – 49No Children at Home3.85.898781-2 Children at Home5.73.81848Total4.561.262126TotalNo Children at Home3.88.886951-2 Children at Home5.231.00483Total4.511.156178SourceType IIIdfM. S.FSig.Corrected Model110.450a522.09030.148.000Intercept622.9101622.910850.133.000Age7.53823.7695.144.007Number_of_Children_at_Home2.97812.9784.064.045Age * Number_of_Children_at_Home15.71327.85610.722.000View keyboard shortcutsEditViewInsertFormatToolsTable12ptParagraphQuestion 13 pt
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