You build a linear model to predict Calc2 grades from Calc1 grades.Residuals:Min: -17.6741Q: -6.759Median: 0.8993Q: 6.725Coefficients:EstimateStd. Errort value(Intercept)11.86612.6782gradeCalc10.95810.41492.309Residual standard error: 11.299 on 98 degrees of freedomMultiple R-squared: 8.98, Adjusted R-squared: 8.531F-statistic: 50 on 1 and 98 DF, p-value: 2.290764244961E-10Max: 15.674Pr(>It|)0.17460.0105 1. Fill in the t-value (z-score) for the intercept.2. A student got a grade of 71.4 in Calc1, and 71.9 in Calc2.2a. What is the model's prediction for Calc2 grade for this student?2b. What is the residual for this student's Calc2 grade?3. Select the answer for each:3a. True or false: Using 0.05 as the threshold, grade in Calc 1 is a significant factor for predicting gradein calc 2.False3b. True or false: A majority (over 50%) of the variance in Calc 2 grade is explained by accounting for thegrade in calc 1.TrueOFalseO True

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Answered: You build a linear model to predict…

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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