Reference no: EM133129001
Question 1: The Cranston Hardware Company is interested in estimating the difference in the mean purchase for men customers versus women customers. It wishes to estimate this difference using a 95 percent confidence level. Given the following output answer the questions below:

1-What is your conclusion? Use α=0.05.
2-What type of t-test was used?
3-Based on the data, the null hypothesis H0 will be
4-Write the null hypothesis and alternative hypothesis
Question 2
A regional retailer would like to determine if the variation in average monthly store sales can, in part, be explained by the size of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly sales were computed. Given the following regression output, answer the questions below:

• What is the least square estimate of the Y-intercept β0 in this regression analysis ?
• What is the value of the coefficient of determination in this regression analysis?
• For each one-foot square increase in size, the average monthly sales will
• What is the predicted value of the Dependent variable, when the independent variable is zero ?
• What is the value of the coefficient of Correlation in this regression analysis ?
• What is the sample size in this regression analysis?
• What is the nature of the linear relationship between the dependent and the independent variables
• What is the least square estimate of the slope parameter β1 in this regression analysis ?
• What is the dependent variable in this regression analysis?
• What is the independent variable in this regression analysis?
• What is the predicted value of the Dependent variable, when the independent variable is 15,000 (sq. ft)?
• Hamad is planning to sell his 15000 sq. feet store and he is claiming that the average monthly sales $750000. Based on the estimated regression model do you think that Hamad's claim is accurate?
Attachment:- Null hypothesis.rar
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