A researcher is interested in predicting the number of homessold from years in business as a real estate agent and their level of education. Use the realestate.xlsx data to respond to the following: what type of regression analysis would you conduct, simple linear regression or multiple linear regression? Why? I WAS GIVEN AN ANSWER SEE PICTURE FOR THE ANSWER I WAS GIVEN. i would like it explained though NumHomesSoldYrs Busine:Educ level81011712121511312171811412135111616124311871266.1136.1214131115151246.1161246111112121214111521123.3. Call:Im(formula= NumHomes SoldYrs_Busine + Educ_level)Residuals:Min1Q Median30Max-2.9409 -1.7652 -0.64131.4680 7.1255Coefficients:Estimate Std. Error t value Pr(>|t|)(Intercept)9.742513.34640.7300.475Yrs_Busine0.76640.10867.059 1.92e-06 ***Educ_level-0.70001.1559 -0.6060.553Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1' ' 1Residual standard error: 2.585 on 17 degrees of freedomMultiple R-squared: 0.747,Adjusted R-squared:0.7173F-statistic: 25.1 on 2 and 17 DF, p-value: 8.436e-06

Regression analysis is a statistical technique that is very useful for these types of problems. For…

Answered: A researcher is interested in…

A researcher is interested in predicting the number of homessold from years in business as a real estate agent and their level of education. Use the realestate.xlsx data to respond to the following:

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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