Examine the following Excel regression printout. Identify the coefficient for theindependent variable. Round answers to 3 decimal places.SUMMARY OUTPUTRegression StatisticsMultiple R0.471139606RSquare0.221972529Adjusted R Square0.110825747Standard Error4.899765793Observations6.ANOVAdfSSMS1 47.94606622 47.94607 1.9971127 168.0539338 24.0077RegressionResidualTotal216Coefficients Standard Error t StatP-value6.21092343 0.719429 0.495188-0.277144891 0.196112695 -1.41319 0.200488Intercept4.468316127XVariable 1O0.471O-0.471O0.277O-0.277

Examine the following Excel regression printout. Identify the coefficient for the independent variable. Round answers to 3 decimal places. SUMMARY OUTPUT Regression Statistics Multiple R 0.471139606 RSquare 0.221972529 Adjusted R Square 0.110825747 Standard Error 4.899765793 Observations ANOVA df SS MS 1 47.94606622 47.94607 1.997112 7 168.0539338 Regression Residual 24.0077 Total 8 216 Coefficients Standard Error t Stat P-value 6.21092343 0.719429 0.495188 -0.277144891 0.196112695 -1.41319 0.200488 Intercept 4.468316127 XVariable 1

Examine the following Excel regression printout. Identify the coefficient for the independent variable. Round answers to 3 decimal places. SUMMARY OUTPUT Regression Statistics Multiple R 0.471139606 RSquare 0.221972529 Adjusted R Square 0.110825747 Standard Error 4.899765793 Observations ANOVA df SS MS 1 47.94606622 47.94607 1.997112 7 168.0539338 Regression Residual 24.0077 Total 8 216 Coefficients Standard Error t Stat P-value 6.21092343 0.719429 0.495188 -0.277144891 0.196112695 -1.41319 0.200488 Intercept 4.468316127 XVariable 1

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 summary output obtained from fitting the multiple regression are given below. Model Unstandardized Coefficients Standardized Sig. Coefficients B Std. Error Beta -3.512 (Constant) Education (years) -3019.226 859.789 .000 658.518 45.852 .581 14.362 .000 Gender -1615.440 253.239 -.249 -6.379 .000 Age (years) 45.008 10.469 .163 4.299 .000 Dependent Variable: Beginning Salary, Male=0 & Female=1. (a) Write down the estimated multiple regression model of the beginning salary on education, gender and age of employees of a company. (b) Interpret estimated regression coefficient values. (c) Find the predicted beginning salary for an employee who is 24 years old male and has 17 years of education.
6. The following results were obtained from a multiple regression analysis. How many observations were involved in this study? A. 25 B. None C. 9 D. 12 E. 30
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Analysis of Variance Source DF SS MS Regression 1 Residual Error 13 0.2364 Total 14 11.3240 What is the value for MSR (Mean Square for Regression)?
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Aa A AaBbCcC AaB AaBbCcDc AaBbCcDc AABBC I Normal TNo Spac.. Heading Heading 2 Title Paragraph Styles Ed 4. The monthly utility bills in a city are normally distributed with a mean of $100 and a standard deviation of $12. Find the probability that a randomly selected utility bill will be between $90 and $120. Distribution type: Probability:
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The regional manager of a franchise business is interested in understanding how income in a region affects sales. Below is a regression output for sales ($’000) regressed on the average household income of an area ($’000) Linear Fit Sales = 14.5774 + 2.9048*Income Summary of Fit RSquare 0.9683 RSquare Adj 0.9630 Root Mean Square Error 3.1083 Mean of Response 43.6250 Analysis of Variance Source DF Sum of Squares Mean Square F Ratio Model 1 1771.9048 1771.90 183.3946 Error 6 57.9702 9.66 Pro>F C. Total 7 1829.8750 ItI Intercept 14.5774 2.4101 6.05 0.0009* Income 2.9098 0.2145 13.54 < 0.0001* Answer the following questions: (i) What is the average sales across all regions? (ii) Interpret the slope of regression (iii) What is the prediction of the value of sales in a region with an average…
In a regression analysis, three independent variables are used in the equation based on a sample of 47 observations. In the ANOVA table for a multiple regression analysis, what are the degrees of freedom associated with the F-statistic? Multiple Choice 3 and 46 4 and 47 3 and 43 2 and 46