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Use regression analysis (JMP: Analyze>Fit Y by X …. and from the scatter plot click on the red triangle and select Fit Line) to test the hypothesis that there is a positive (direct) relationship between “stem length” and “wet weight”. In this case the belief is that “stem length” (the independent variable) may be influencing “wet weight” (the dependent variable).
(a) What does the RSquare value indicate?
(b) What do the parameter estimates indicate about the relationship between stem length and weight?
(c) What does the p-value associated with the parameter estimate for stem length allow you to conclude about the null hypothesis that the stem length has no effect on wet weight?
Refer to the figure below. How much is consumer surplus in the monopoly outcome? a. Area C; b. Area R; c. Area D; d. Area C + D; e. Area C + R + D 37. Refer to the figure below. To maximize profit, what price should the firm charge? a. $18; b. $15; c..
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