Use the computer output to estimate the intercept, and the slope ₁.The regression equation is Y = 833 - 4.16X.Predictor CoefConstant 832.507XIntercept BoSlope B₁:i-4.157iSE Coef T P90.49 9.20 0.0001.363 -3.05 0.006

Given Regression equation 833-4.16X

Answered: Use the computer output to estimate the…

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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Refer to the data set:(-1, 2), (1, 3), (1, 5), (2, 7), (3, 8), (4, 11)Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 10
b. Find the equation of the regression line for the minutes the actor appeared shirtless in a film and the film's opening weekend gross. y = ___x + ____(Round to two decimal places as needed)
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Use the computer output to estimate the intercept β0 and the slope β1.The regression equation is Y⁢=824-3.11X. Predictor Coef SE Coef T P Constant 824.309 89.60 9.20 0.000 X -3.108 1.019 -3.05 0.006 Intercept β0: Enter your answer; InterceptSlope β1: Enter your answer; Slope
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Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 59 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years? a. Find the equation of the regression line. y= (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.) b. The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 59 years is years old. (Round to the nearest whole number as needed.)
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Use the computer output to estimate the intercept, and the slope ₁. The regression equation is Y = 833 Predictor Coef Constant 832.507 X Intercept Bo Slope B₁: i -4.157 i 4.16X. SE Coef T P 90.49 9.20 0.000 1.363 -3.05 0.006