Consider the following regression: DV (Dependent Variable): Number of Supermarkets IVs (Independent Variables): Area, Percent of Females, Percent Married, Number of Housing Units Assume that the output is OK as is (i.e., you don’t need to rerun it to fix anything). Based on a cutoff of |0.75|, multicollinearity exists between how many pairs of variables?
Read DetailsTest the null hypothesis that on average, customers in all occupations feel equally as strong that “I live for sales.” What is the p-value? Round your answer to two decimal places Variable Description occup Respondent’s occupation 1 Student 2 Secretarial 3 Teacher 4 Store Worker 5 Professional 6 Home Worker 7 Factory Worker 8 Unemployed price4 I live for sales
Read DetailsA new variable OCCCAT has been created from the existing variable occup and is defined as follows: 1 = Do not work (student, home worker, unemployed) 2 = Salaried workers (professional, teacher) 3 = Hourly workers (secretarial, store worker, factory worker) Test the null hypothesis that there is no association between what type of shopper a person is and OCCCAT. What is the p-value? Round your answer to three decimal places. Variable Description SHOPPER 1 = Mode I loyal, 2 = Cross shopper, 3 = Bargain mode loyal
Read DetailsTest the null hypothesis that the average percent of the respondent’s fashion shopping trips where she shops at Mode I stores is the same for all income categories. What is the p-value? Round your answer to two decimal places. Variable Description tripmpct Percent of respondent’s fashion shopping trips where she stops at Mode I stores 1 never 2 1 out of 4 3 about half 4 3 out of 4 5 almost all 6 don’t know income Income category 1 Under $10,000 2 $10,000 – $14,999 3 $15,000 – $19,999 4 $20,000 – $29,999 5 $30,000 – $49,999 6 $50,000 – $74,999 $75,000 and Over
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