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incorporation intend to use shares of lawn fertilizer to predict loan mover says the store manager estimate a probable 6 week lag between fertilizers sales and mover sale the prediction period followers as determine correlation between two variables obtained linear regression and period is 1 2 3 4 5 6 7 8 9 10 11 12 13 14 fertilizers are 1.6, 1.3 1.8 2.0 2.2 1.6 1.5 1.3 1.2 1.9 1.4 1.7 1.6 no of sales is 10 8 11 12 12 9 8 7 10 6 11 8 10 9

incorporation intend to use shares of lawn fertilizer to predict loan mover says the store manager estimate a probable 6 week lag between fertilizers sales and mover sale the prediction period followers as determine correlation between two variables obtained linear regression and period is 1 2 3 4 5 6 7 8 9 10 11 12 13 14 fertilizers are 1.6, 1.3 1.8 2.0 2.2 1.6 1.5 1.3 1.2 1.9 1.4 1.7 1.6 no of sales is 10 8 11 12 12 9 8 7 10 6 11 8 10 9

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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incorporation intend to use shares of lawn fertilizer to predict loan mover says the store manager estimate a probable 6 week lag between fertilizers sales and mover sale the prediction period followers as determine correlation between two variables obtained linear regression and period is 1 2 3 4 5 6 7 8 9 10 11 12 13 14 fertilizers are 1.6, 1.3 1.8 2.0 2.2 1.6 1.5 1.3 1.2 1.9 1.4 1.7 1.6 no of sales is 10 8 11 12 12 9 8 7 10 6 11 8 10 9

24. Lovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store managet V vÁY M 0 84 || 6:17 Edit WPS 50 Experimenting PDF document designated page output for long pictures, easy to share 50 Picture Sharing 140 9.00 162 7.50 160 8.00 a. Plot the data and a regression line on the same graph. b. Determine the correlation coefficient and interpret it. 23. The following data were collected during a study of consumer buying patterns: Observation y Observation y 15 74 8 18 78 .... 2 25 80 9 14 70 40 84 10 15 72 4 32 81 11 22 85 5... 51 96 12 24 88 6. 47 95 13 33 90 30 83 Scanned with CamScanner 118 Part Two Forecasting a. Plot the data. b. Obtain a lincar regression line for the data. e. What percentage of the variation is explained by the regression line? d. Use the equation determined in part b to predict the value of y for x= 41. 24. Lovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store mana mates a probable six-week lag between fertilizer sales and mower sales. The pertinent data are: Fertilizer Sales (tons) Number of Mowers Sold (six-week lag) Fertilizer Number of Mowers Sold (six-week lag) Sales Period Period (tons) 8....... 13 17 10 1.2 6 1...... 1.6 10 9.... 1.7 2...... 1,3 10...... 3 ...... 1.8 11 ..... st 11 1.9 11 4...... 20 2.0 12 12..... 14 13....... 17 14... 1.6 12 5..... 22 10 6...... 1.6 7....... 1.5 a. Determine the correlation between the two variables. Does it appear that a relationship between these ables will yield good predictions? Explain. b. Obtain a lincar regression line for the data. c. Predict lawn mower sales for the first week in August, given fertilizer sales six weeks earlier of 2 tons 25. An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a li trend equation and the naive approach. The lincar trend equation is F, = 124 + 2r, and it was developed i data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of te two methods has the greater accuracy? Units Sold 11 147 12 148 13 151 14 145 di 15 155 16 152 17 155 18 157 19 160 20 165 26. Two different forccasting techniques (FI and F2) were used to forecast demand for cases of bottled water. Atu demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 66 66 2 75 68 68 3 70 72 70 74 71 72 69 72 74 6 72 70 76 71 78 78 74 B0 Scanned with CamScanner Tools Mobile View Play Share PDF to PPT
Transcribed Image Text:24. Lovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store managet V vÁY M 0 84 || 6:17 Edit WPS 50 Experimenting PDF document designated page output for long pictures, easy to share 50 Picture Sharing 140 9.00 162 7.50 160 8.00 a. Plot the data and a regression line on the same graph. b. Determine the correlation coefficient and interpret it. 23. The following data were collected during a study of consumer buying patterns: Observation y Observation y 15 74 8 18 78 .... 2 25 80 9 14 70 40 84 10 15 72 4 32 81 11 22 85 5... 51 96 12 24 88 6. 47 95 13 33 90 30 83 Scanned with CamScanner 118 Part Two Forecasting a. Plot the data. b. Obtain a lincar regression line for the data. e. What percentage of the variation is explained by the regression line? d. Use the equation determined in part b to predict the value of y for x= 41. 24. Lovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store mana mates a probable six-week lag between fertilizer sales and mower sales. The pertinent data are: Fertilizer Sales (tons) Number of Mowers Sold (six-week lag) Fertilizer Number of Mowers Sold (six-week lag) Sales Period Period (tons) 8....... 13 17 10 1.2 6 1...... 1.6 10 9.... 1.7 2...... 1,3 10...... 3 ...... 1.8 11 ..... st 11 1.9 11 4...... 20 2.0 12 12..... 14 13....... 17 14... 1.6 12 5..... 22 10 6...... 1.6 7....... 1.5 a. Determine the correlation between the two variables. Does it appear that a relationship between these ables will yield good predictions? Explain. b. Obtain a lincar regression line for the data. c. Predict lawn mower sales for the first week in August, given fertilizer sales six weeks earlier of 2 tons 25. An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a li trend equation and the naive approach. The lincar trend equation is F, = 124 + 2r, and it was developed i data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of te two methods has the greater accuracy? Units Sold 11 147 12 148 13 151 14 145 di 15 155 16 152 17 155 18 157 19 160 20 165 26. Two different forccasting techniques (FI and F2) were used to forecast demand for cases of bottled water. Atu demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 68 66 66 2 75 68 68 3 70 72 70 74 71 72 69 72 74 6 72 70 76 71 78 78 74 B0 Scanned with CamScanner Tools Mobile View Play Share PDF to PPT
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