The president of a company was interested in determining whether there is a correlation between sales...

 

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The president of a company was interested in determining whether there is a correlation between sales made by different sales teams and hours spent on employee training. These figures are shown. Sales (in thousands) 15 33 19 47 9 Training Hours 6 11 10 13 4 a. Compute the correlation coefficient for the data. (Round your answer to 4 decimal places, e.g., 500.2555.) The correlation coefficient is What is your interpretation of this value? (Do not round your intermediate computations to answer this question.) There is linear association between sales and training hours. b. Using the data, what would you expect sales to be if training was increased to 18 hours? Use the linear regression model. (Round your answer to 2 decimal places, e.g., 500.25.) Sales = (in thousands) The president of a company was interested in determining whether there is a correlation between sales made by different sales teams and hours spent on employee training. These figures are shown. Sales (in thousands) 15 33 19 47 9 Training Hours 6 11 10 13 4 a. Compute the correlation coefficient for the data. (Round your answer to 4 decimal places, e.g., 500.2555.) The correlation coefficient is What is your interpretation of this value? (Do not round your intermediate computations to answer this question.) There is linear association between sales and training hours. b. Using the data, what would you expect sales to be if training was increased to 18 hours? Use the linear regression model. (Round your answer to 2 decimal places, e.g., 500.25.) Sales = (in thousands)

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SOLUTION a To compute the correlation coefficient we first need to convert the data into a scatter plot with hours on the xaxis and sales on the yaxis Scatter Plot After plotting the data we can see t... View the full answer