A city boy started an orchard in his native village. He consulted an agricultural extensionofficer and used fertilizer and insecticide per his advice. He wanted to estimate thecontribution of fertilizer and insecticide on output and decided to use regression analysis.Following table gives the MINITAB output.Regression Analysis: Mango Output versus fertilizer and insecticide.PredictorсoefSE CoefConstant75.675210.0451XFertilizer2.3101.96Insecticide4.21502.015XXS= 13.1459R-Sgr = 89.1%R-sgr (Adjusted) = 85.64Analysis of VarianceSourceDFSSMSRegression220,200.35XResidual Error37140.50Totala) Fill-up the blanks as marked.b) Can you conclude that application of fertilizers have increased mango outputsignificantly at 5% level of significance.c) Construct a 95% confidence interval for Fertilizer coefficient.d) What is the value coefficient of multiple determinations. Why is the adjusted coefficientof multiple determination is less than the coefficient of multiple determination. What isthe problem with coefficient of multiple determination that led to the development ofadjusted coefficient of multiple determination?e) Interpret the coefficient for Insecticide?P.

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Answered: Regression Analysis: Mango Output…

A First Course in Probability (10th Edition)

10th Edition

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Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A multiple regression model has been fit to a data set with p predictor variables, and the adjusted R-squared value is 0.75. What can we conclude about the model fit and the predictor variables in the model?
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ONA model is developed for forecasting of sale and the effects of three independent variables , advertising expenditure (X1), Price (X2), and time (X3) resulted in the following. Regression Statistics Standard Error 232.29 Table 1: ANOVA df SS MS F Regression 3 53184931.86 ? ? Residual ? 1133108.30 ? Total 24 54318040.16 Table 2: regression Coefficients Standard Error t Stat Intercept 927.23 1229.86 ? Advertising (X1) 1.02 3.09 ? Price (X2) 15.61 5.62 ? Time (X3) 170.53 28.18 ? Fill in the blanks in table 1 and table 2 . What is the total number of observations . Write down the…
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