Lovely Lawns, Inc., 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:FertilizerNumber ofFertilizerNumber ofSalesMowers SoldSalesMowers SoldPeriod(tons)(six-week lag) Period(tons)(six-week lag)11.6108.1.371.381.71031.811101.26.42.0121.9112.212121.41.69.131.71071.5141.6a. Determine the correlation between the two variables. Does it appear that a relationship exists between these variables will yieldgood predictions? (Do not round intermediate calculations and round your answer to 3 decimal places.)it appears that a positivev relationship exists between these variables.b. Obtain a linear regression line for the data. (Negative values should be indicated by a minus sign. Do not round intermediatecalculations and round your answers to 3 decimal places.)Y =O Xi+c. Predict expected lawn mower sales for the first week in August, given fertilizer sales six weeks earlier of 2 tons. (Round youranswer to the nearest whole number.)Expectmowers to be sold in the first week of August.O O H N 3

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ovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store manager estimates a probable six- eek lag between fertilizer sales and mower sales. The pertinent data are: Fertilizer Number of Fertilizer Number of Sales Mowers Sold Sales Mowers Sold eriod (tons) (six-week lag) Period (tons) (six-week lag) 1. 1.6 10 8 1.3 7 1.3 9 1.7 10 3 1.8 11 10 1.2 4 2.0 12 11 1.9 11 2.2 12 12 1.4 8 1.6 9 13 1.7 10 7 1.5 8 14 1.6 Determine the correlation between the two variables. Does it appear that a relationship exists between these variables will yield pod predictions? (Do not round intermediate calculations and round your answer to 3 decimal places.) %3D , it appears that a positive v relationship exists between these variables. Obtain a linear regression line for the data. (Negative values should be indicated by a minus sign. Do not round intermediate alculations and round your answers to 3 decimal places.) = Predict expected lawn mower sales for the first week in August, given fertilizer sales six weeks earlier of 2 tons. (Round your nswer to the nearest whole number.)

ovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store manager estimates a probable six- eek lag between fertilizer sales and mower sales. The pertinent data are: Fertilizer Number of Fertilizer Number of Sales Mowers Sold Sales Mowers Sold eriod (tons) (six-week lag) Period (tons) (six-week lag) 1. 1.6 10 8 1.3 7 1.3 9 1.7 10 3 1.8 11 10 1.2 4 2.0 12 11 1.9 11 2.2 12 12 1.4 8 1.6 9 13 1.7 10 7 1.5 8 14 1.6 Determine the correlation between the two variables. Does it appear that a relationship exists between these variables will yield pod predictions? (Do not round intermediate calculations and round your answer to 3 decimal places.) %3D , it appears that a positive v relationship exists between these variables. Obtain a linear regression line for the data. (Negative values should be indicated by a minus sign. Do not round intermediate alculations and round your answers to 3 decimal places.) = Predict expected lawn mower sales for the first week in August, given fertilizer sales six weeks earlier of 2 tons. (Round your nswer to the nearest whole number.)

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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