The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females.Regression Analysis: Height Versus Shoe Size,GenderCoefficientsTermCoefSE CoefT-ValueP-ValueConstant55.281.0950.720.000Shoe Size1.1650.190.000Gender2.5780.4845.330.000(a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.)t =(b) Is the regression coefficient of shoe size statistically significant? (Use a = 0.05.)The regression coefficient of shoe size -Select-- v statistically significant.(c) Does the variable shoe size belong in the model?The variable shoe size --Select-- v belong in the model.(d) Interpret the regression coefficient of Gender. (Round your answer to 3 decimal places).Males areinches taller than females, on average, controlling for shoe size.

The independent variables are Shoe size and Gender. The dependent variable is Height. The given…

The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and O for females Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.28 1.09 50.72 0.000 Shoe Size Gender 1.165 0.19 0.000 2.578 0.484 5.33 0.000 (a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.) (b) Is the regression coefficient of shoe size statistically significant? (Use a = 0.05.) The regression coefficient of shoe size -Select-- v statistically significant. (c) Does the variable shoe size belong in the model? The variable shoe size --Select-- v belong in the model. (d) Interpret the regression coefficient of Gender. (Round your answer to 3 decimal places). Males are inches taller than females, on average, controlling for shoe size.

The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and O for females Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef SE Coef T-Value P-Value Constant 55.28 1.09 50.72 0.000 Shoe Size Gender 1.165 0.19 0.000 2.578 0.484 5.33 0.000 (a) Find the value of the test statistic for shoe size. (Round your answer to two decimal places.) (b) Is the regression coefficient of shoe size statistically significant? (Use a = 0.05.) The regression coefficient of shoe size -Select-- v statistically significant. (c) Does the variable shoe size belong in the model? The variable shoe size --Select-- v belong in the model. (d) Interpret the regression coefficient of Gender. (Round your answer to 3 decimal places). Males are inches taller than females, on average, controlling for shoe size.

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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The following regression is fitted using variables identified that could be related to student requestedloan amount, LOAN-AMT($) for returning students of a certain University. ????−??? = ? + ? ?????? + ? ???? + ? ????Where ACCEPT = the percentage of applicants that was accepted by the university, PREV = previous loan amount and OUTS =outstanding loan amountThe data was processed using MNITAB and the following is an extract of the output obtained:EXHIBIT 2Predictor Coef StDev T PConstant -26780 6115 * 0.000ACCEPT 116.00 37.17 3.14 0.003PREV -4.21 14.12 -0.30 **OUTS 70.85 15.77 4.49 0.000S = 2685 R-Sq = 69.6% R-Sq(adj) = 67.7%Analysis of VarianceSource DF SS MS F PRegression 3 808139371 269379790 37.37 0.00Residual Error 49 353193051 7208021Total 52 1161332421a)What is dependent and independent variables? b)Fully write out the regression equation c)What is the sample size used in this investigation? d)Fill in the blanks identified by ‘*’ and ‘**’. e)Is β significant, at the 5% level of…
Consider the following computer output from a multiple regression analysis relating the cost of car insurance to the variables: number of car accidents, driver's credit score, and safety rating of the car. Intercept Car Accidents (In last 3 years) Credit Score Safety Rating Coefficients 1186 213.48 Coefficients - 130.46 294.11 Standard Error Does the sign of the coefficient for the variable safety rating make sense? 123.87 21.89 14.26 356.37 t Stat P-value 9.575 0.0000 9.752 0.0000 -9.149 0.0000 0.825 0.4128
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Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sg ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract: The regression equation is Price = B + ÞBedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 s= 25023 R-Sq=56.0% R-Sq(adj)=54.6% Source DF MS F P Regression Residual 3 76501718347 25500572782 **** Error 96 60109046053 626135896 Total 99 1. Fill in the missing values *, **, and **** 2. Use the p-value approach to determine if o is significant at the 5% significance level