Exam 2 MKT435

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Saginaw Valley State University *

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435

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Marketing

Date

Jan 9, 2024

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docx

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4

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Exam 2 Instructor: Lu Liu Name: Class: MKT 435 ID: Part I (Multiple Choices): Circle the ONE alternative that BEST completes the statement or answer the question. Each question worth 1.5 pts, the total is 15 pts. Page 1
Page 2 The brand name of an orange juice is a ____ scale of data measurement. a. Nominal b. Ordinal c. Interval d. Ratio The rankings of car safety is a ____ scale of data measurement. a. Nominal b. Ordinal c. Interval d. Ratio Among the four interval scales commonly used in marketing research, which one ask respondents to indicate their degree of agreement or disagreement on a symmetric scale. a. Likert Scale b. Semantic Differential Scale c. Stapel Scale d. Slider Scales Among the four interval scales commonly used in marketing research, which one ask respondents to indicate their impressions of each property by indicating locations along the continuum between a pair of bipolar adjectives. a. Likert Scale b. Semantic Differential Scale c. Stapel Scale d. Slider Scales “Do you have a problem with your boss” is a type of ____ problematic question. a. Leading b. Loaded c. Double barreled d. Overstate In terms of questionnaire organization, ____ are used to identify respondents who meet qualifications necessary to take part in the study. a. Incentives b. Screening questions c. Warm up questions d. Transitions The entire group under study as defined by research objectives is called ____ a. Population b. Sample
Part II (Calculations): Show the process and result. Each question worth 5 pts, the total is 10 pts. In one marketing research, the research team did a survey about the brand choice, they asked the question “will your next pizza be a Domino`s”, the results showed 90% say “yes, my next pizza will be a Domino`s” and 10% say “no, my next pizza will not be a Domino`s”. Assume the acceptable margin of sample error is 3% and level of confidence is 95%. Calculate the sample size. (5pts) The regression results below represent the cost of factory production of automobile headlights for Toyota cars at one factory. Answer the following questions. Regression Statistics Multiple R 0.749591807 R Square 0.561887878 Adjusted R Square 0.474265453 Standard Error 42861.35168 Observations 19 Coefficients Standard Error t Stat P-value Intercept 1081275.15 77244.49507 13.99808684 5.13021E-10 Corolla 19.2850886 13.03175458 1.479853575 0.249607524 Camry 20.72528603 7.689781205 2.695172396 0.101661886 Avalon 33.23260325 32.71775573 1.015736028 0.025859682 12.1: What does the R Square mean in this specific example? (2.5 points) Page 3
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12.2: Interpret the intercept and all coefficients. What do they mean in this specific example? (2.5 pts) Page 4