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6. What do the results of the test from #5 tell you? There is a significant difference between the months passed since first purchase and

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6. What do the results of the test from #5 tell you? There is a significant difference between the months passed since first purchase and the number of cookbooks purchased Months passed since first purchase has a significant, positive influence on the number of cookbooks purchased by a customer. There is a strong, positive relationship between the months passed since first purchase and the number of cookbooks purchased. The number of cookbooks purchased by a customer has no influence on the months passed since first purchase. QUESTION 7 7. According to our interpretation of the correlation coefficient, P_Art and Frequency have no correlation. a strong, negative correlation. a small, negative correlation. a small, positive correlation. QUESTION 8 B. Again, according to our interpretation of the correlation coefficient, P_DIY and First purchase have a strong, positive correlation. a small, positive correlation. a medium, positive correlation. no correlation QUESTION 9 Although correlation does not equal causation, the results we calculated can help us develop hypotheses about causation. For example, we can create hypotheses about what variables influence amount purchased. 9. Which of the following alternative hypotheses is appropriately stated? H1: The number of months since a customer's first purchase (i.e. total months as a customer) positively effects the amount purchased by a customer. H1: The number of months since a customer's first purchase (i.e. total months as a customer) has no effect on the amount purchased by a customer. PH1: There is no difference between the number of months since a customer's first purchase (i.e. total months as a customer) and the amount purchased by a customer. H1: The number of months since a customer's first purchase (i.e. total months as a customer) is equal to the amount purchased by a customer. QUESTION 10 10. Subsequently, which of the following would be an appropriate null hypothesis for the answer from #9? HO: There is a significant difference between the number of months since a customer's first purchase (i.e. total months as a customer) and the amount purchased by a customer. HO: The number of months since a customer's first purchase (i.e. total months as a customer) has no effect on the amount purchased by a customer. HO: The amount purchased by a customer number has a positive effect on the months since a customer's first purchase (i.e. total months as a customer). HO: The number of months since a customer's first purchase (i.e. total months as a customer) has a positive effect on the amount purchased by a customer. QUESTION 11 A recent study found a relationship between 'per capita consumption of chicken' and 'total U.S. crude oil imports.' This is an example of a(n) aggregate response model individual response model spurious correlation causal relationshipQUESTION 12 Economists have closely been analyzing how recent increases in mortgage rates have impacted housing sales. This is an example of a(n) aggregate response model individual response model spurious correlation analysis of variance QUESTION 13 The amount a firm spends on digital marketing could be classified as a(n) dependent variable marketing input marketing output strong correlation QUESTION 14 Southwest Airlines recently offered deeply discounted airfare to all customers. They noticed that when their prices go down, their ticket sales go up. This is an example of a(n)_ significant difference positive correlation negative correlation spurious correlation

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