Show transcribed image text scatterplot. 4. Using the data in problem #2, answer the following. Assume MPH is going to be used to predict stopping distance. a. Find the linear regression equation. b. What does the slope tell you about MPH and the braking distance? How about the y intercept? c. Find the braking distance when MPH 45. d. Find the braking distance when MPH = 100. e. Comment on predicting beyond the given data values. For the next two exercises, perform the following steps. a. b. c. d. e. Draw a scatterplot for the variables. Compute the value of the correlation coefficient State the hypotheses. Test the significance of the correlation coefficient at a-.05 using Table L Give a brief explanation of the type of relationship. Assume all assumptions have been met. Answer sub-questions related to each. f. &.The number of murders and robberies per 100,000 population for a random selection of states
scatterplot. 4. Using the data in problem #2, answer the following. Assume MPH is going to be used to predict stopping distance. a. Find the linear regression equation. b. What does the slope tell you about MPH and the braking distance? How about the y intercept? c. Find the braking distance when MPH 45. d. Find the braking distance when MPH = 100. e. Comment on predicting beyond the given data values. For the next two exercises, perform the following steps. a. b. c. d. e. Draw a scatterplot for the variables. Compute the value of the correlation coefficient State the hypotheses. Test the significance of the correlation coefficient at a-.05 using Table L Give a brief explanation of the type of relationship. Assume all assumptions have been met. Answer sub-questions related to each. f. &.The number of murders and robberies per 100,000 population for a random selection of states
