Question: 1: Use the least-squares regression method to derive a forcasting equation. What is the slope? 2: what is the expected number of mowers sold if

1: Use the least-squares regression method to derive a forcasting equation. What is the slope? 2: what is the expected number of mowers sold if fertilizer sales are 3 tons? 3: what is the standard error of the estimate 4: plot the data. Does it appear be a linear relationship between these variables? 5:what's the model correlation coefficient ? 6: what's the coefficient of determination? 7: what's percentage of variation is explained by the regression line?
Good-Looking Lawns intends to use sales of lawn fertilizer to predict lawn mower sales. The store manager estimates a probable six-week lag between fertilizer sales and mower sales. The pertinent data are Period Fertilizer Number of Fertilizer Number of Sales Mowers Sold Period Sales Mowers Sold (tons) 16 (six-week lag) 10 1 (tons) 13 (six-week lag) 7 8 2. 1.3 8 9 1.7 10 3 18 11 10 12 6 4 2.0 12 11 19 11 5 2.2 12 12 14 8 6 1.6 9 13 1.7 10 7 1.5 8 14 1.6 9Step by Step Solution
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