We are interested in the relationship between mid-term exam scores and final exam scores. The Final Exam score is the dependent variable and Midtermscore is the independent variable. Use the simple regression output on below to answer the question below. Use a significance level of 0.05 for allhypothesis tests and intervals.A point estimate for the Final Exam score for a student with a score of 85 on the Midterm?O Bivariate Fit of Final Exam By Midterm1009080706050556065707580859095100MidtermParameter EstimatesTermEstimate Std Error t Ratio Prob>|t| Lower 95% Upper 95%0.0031*<.0001*11.1665220.36150443.09Intercept 31.738559 10.26099Midterm52.3105960.61916 0.1285144.820.8768157Upper 95%Indiv Final ...PredictedLower 95%Upper 95%Lower 95%Student Midterm Final ExamFinal ExamMean Final ... Mean Final ..Indiv Final ...7075.07976245 71.391337991 78.768186908 53.411179985 96.748344914Final Exam

For the given data given midterm = 85 then Final exam score =?

Answered: We are interested in the relationship…

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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In an ANOVA table for a multiple regression analysis, the global test of significance is based on the _________. Select one: a. Regression mean square divided by the mean square error b. Treatment mean square and block mean square c. Treatment mean square divided by the error variation d. Block and error variation
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Answer the Question 1. In multiple regression: a. the ANOVA table tells us whether the three main regression coefficients (R, R-square, adjusted R-square) are significantly different from 1. .50 2. 1.00 3. Zero 4. 1.50 b. the adjusted R-square can be interpreted as 1. Th percentage of variance accounted for in the dependent variable by the set of independent variables 2. The percentage of variance accounted for in the dependent variable by the set of independent variables minus an estimate penalty 3. The percentage of variance accounted for in the dependent variable by a single independent variable 4. The strength of a relationship between the dependent variable and the set of independent variables

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