Q38 Using the regression output above, what is the sales prediction for a month in which the store is 6 months old with a price of $21.00 dollars? Write down your work on paper and send an image to faculty after the exam.  

Suppose you are trying to measure the annual sales of cans of soft drink brand X.  To measure this you ask the following question:         “Roughly how many cans of soft drink X do you purchase in a given year?    _______cans   Which of the following is true?

Case: Consider the following output from Rstudio from conducting ANOVA on two questions Level of education completed and the Likert statement I consider myself a liberal (1-strongly disagree, 2- disagree, 3-neither agree nor disagree, 4-agree, 5 – strongly agree)   Descriptives   N Mean Std. Deviation Std. Error Elem School 51 3.2510 1.02594 .14366 Some High School 174 3.4092 .89127 .06757 High School Grad 1046 3.3440 .91739 .02837 Some College 1001 3.4503 .96209 .03041 College Grad 455 3.3736 .96558 .04527 Post-Grad Education 458 3.5620 .99348 .04642 Total 3185 3.4151 .95240 .01688       ANOVA   Sum of Squares df Mean Square F Sig. Between 18.582 5 3.716 4.117 .001 Within 2869.495 3179 .903     Total 2888.077 3184         –REFER TO THIS CASE FOR THE QUESTIONS 35-37—   Q35: Given this ANOVA output and a 1% significance level, what can we conclude from this test?

Suppose you are given the results from two surveys that were run simultaneously on the same population (but different respondents).  Both surveys used the same questionnaire, which includes a Likert scale question on a 1-5 scale.  The first survey yields a mean of 2.86 for this question, and the second survey yields a mean of 2.99.  What type of error explains the difference between the two?

Case:  A marketing researcher for a political party collects data using a survey about political attitudes. He administers the questionnaire to 100 respondents. One of the questions is the Likert statement “I do not believe that children can get a good education in schools today”, where 1 = Totally disagree, 2 = Somewhat disagree, 3 = Neutral, 4 = Agree, 5 = Totally agree. In addition, the researcher obtains information about respondents’ sex. –REFER TO THIS CASE FOR QUESTIONS 31 – 34– Q31: Which of the following techniques could be used to investigate the relationship between sex (m/f) and education attitudes using the data described above?

Q37:  Given that this data uses a Likert scale, which of the following would also be a possibility?

Q39:  Using the regression output above, what is the prediction for next years total spend for a 52 year old male customer that visited the store 3 times the previous year?

Q36:  Suppose that within each of the education levels (Elem school, Some High School, etc.) the variation in the responses to the Likert scale question remained the same, but the means for each education level where much further apart than they are above.  What would you expect to happen to the values of SSM and SSE?

Suppose you are provided the data for the following survey questions given to working-age adults: 1)  How would you describe your current employment status ____ Employed full-time    ____Employed part-time    ____Unemployed ____Other   2)  What is the highest level of education that you have completed? ____Elementary school ____Middle school ____High school ____2-year College degree ____Trade School ____Four year college degree ____Graduate college degree   3)  What is your age in years?   _____   Given these questions, what technique would be best for investigating the how well education level and age predict whether a person is employed full-time?

Suppose you are trying to measure the annual sales of X brand potato chips.  To measure this you ask the following question in a survey:         “Roughly how many bags (of any size) of  X brand potato chips do you purchase in a given year?    _______bags   Which of the following is true?