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Im looking cor the dependant and independant variables for the mode In order to test its job candidates' technical skills , a company creates a

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Im looking cor the dependant and independant variables for the mode image text in transcribed
In order to test its job candidates' technical skills , a company creates a timed Excel test (in minutes) to be completed during the interview. The company asks its candidates how many years they've been using Excel. Based on the reported years of experience using Excel, the company wants to predict how long it will take (in minutes) for an interviewee to complete the technical test. Regression Statistics Multiple 0.92123 RSquare 0.8486617 Adjusted Square 0.8446822 Standard Error 12652934 Observations ANOVA Regression Residual Total 55 MS F Sion icone 1 34116.299234116.2992 213.098 3.645638-17 38 6083.675798 160.096732 39 40199.975 Intercept years Coefficients Standard Error Stot P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 124.25291 3.366677248 36.9066886 2.268-31 117.4374269 131.06839 117437427 131.06839 -5.3057596 0.363461019 14.597878 3,65E-176.04154792 -4.5699712 -6.04154792 4.5699712 Q: What is the independent and dependent variable in this model? In order to test its job candidates' technical skills, a company creates a timed Excel test (in minutes) to be completed during the interview. The company asks its candidates how many years they've been using Excel. Based on the reported years of experience using Excel, the company wants to predict how long it will take in minutes) for an interviewee to complete the technical test. Regression Statistics Multiple R 0.92123 R Square 0.8486647 Adjusted Square 0.8446822 Standard Error 12.652934 Observations 40 ANOVA Regression Residual Total SS MS Significance 1 34116.299234116.2992 213.098 3.64563E-17 38 6083.575798 160.096732 39 40199 975 years Coefficients Standard Errort Stat P value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 124.25291 3.366677248 36.9066886 226E-31 117 A374269 131.06839 117437427 131.06839 5.3057596 0.363461019 14.597878 3.65-17 -6.04154792-45699712 -6.04154792 45699712 Q: Write the regression line equation

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