Use the example of temperature and the amount of ice cream sold in a city each day, we are interested in creating an equation that will allow us to predict the amount of ice cream that are sold in the future simply by knowing temperature. (Please fill out the red blanks with appropriate numbers randomly.) a. Construct a scatter plot of the data. What should the independent variable be? Why? b. Find the values and discuss what the following mean in context. i. The slope of the regression equation ii. The y-intercept of the regression equation iii. The correlation r iv. The coefficient of determination r2. c. Do the data provide convincing evidence that there is a linear relationship between temperature and the amount of ice cream Carry out an appropriate test at a significance level of 0.05 to help answer this question.
Use the example of temperature and the amount of ice cream sold in a city each day, we are interested in creating an equation that will allow us to predict the amount of ice cream that are sold in the future simply by knowing temperature. (Please fill out the red blanks with appropriate numbers randomly.)
a. Construct a
b. Find the values and discuss what the following mean in context.
i. The slope of the regression equation
ii. The y-intercept of the regression equation
iii. The
iv. The coefficient of determination r2.
c. Do the data provide convincing evidence that there is a linear relationship between temperature and the amount of ice cream Carry out an appropriate test at a significance level of 0.05 to help answer this question.
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