Given are five observations for two variables, x and y.xi38121820yi5457502411-select your answer choices- b. The least squares line provided an (good, bad) fit; __ % of the variability in y has been explained by the estimated regression equation (to 1 decimal) Given are five observations for two variables, a and y.38.121820Yi5457 502411The estimated regression equation for these data is ŷ = 71.51 – 2.65x.a. Compute SSE, SST, and SSR.SSE(to 2 decimals)SST(to 2 decimals)SSR(to 2 decimals)b. Compute the coefficient of determination r2. Comment on the goodness of fit.(to 3 decimals)The least squares line provided an - Select your answervariability in y has been explained by the estimated regression equation (to 1 decimal).fit;% of thec. Compute the sample correlation coefficient. Enter negative value as negative number.(to 3 decimals)

(a) Use EXCEL to determine the values of SSE, SST and SSR EXCEL procedure: Go to EXCEL Go to…

Given are five observations for two variables, a and y. 3 8 12 18 20 Yi 54 57 50 24 11 The estimated regression equation for these data is ŷ = 71.51 – 2.65z. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR |(to 2 decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit. |(to 3 decimals) The least squares line provided an- Select your answer - fit; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

Given are five observations for two variables, a and y. 3 8 12 18 20 Yi 54 57 50 24 11 The estimated regression equation for these data is ŷ = 71.51 – 2.65z. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR |(to 2 decimals) b. Compute the coefficient of determination r. Comment on the goodness of fit. |(to 3 decimals) The least squares line provided an- Select your answer - fit; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)

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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The table below gives the age and bone density for 5 women. Use the equation of the regression line, y= b0 + b1x, for predicting a women's bone density based on her age. The correlation coefficient may or may not be statically significant for the data given. Remember it wouldn't be appropiate to use regression line to make a prediction if the correlation coefficient isn;t statically significant. (y has a "hat" on the top) age 39 51 54 56 67 bone density 355 349 347 315 313 Find the estimated slope. Rund your answer to three decimal places. Find the estimated y-intercept. Round your answer to three decimal places. Determine the value of the dependent variable y at x+ 0 (y has a "hat" onthe top) Find the estimated value of y when x = 51. Round your answer to three decimal places. Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the valueof the…
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You believe that the price of Zoom Videoconferencing stock and the price of American Airlines stock will move in opposite directions. In order to test this relationship, we do a simple regression with the following variables:A - dependent variable : month end price of American Airlines stockZ - independent variable: month end price of Zoom Videoconferencing stock Data from April 2019 through December 2020 (21 observations) is availableBased on the data, we compute the following:Var (Z) = 20927.702Cov (A,Z) = -899.153E(A) = 20.790E(Z) = 187.530Std Error of Estimate = 6.088TSS = 1476.830 Consider the equation At = b0 + b1 Zt + εtBased on the numbers given above, complete the following table Variable Estimate Std error t-statistic Slope b1 .00941 Constant b0 2.2088 R-square N/A N/A F statistic N/A N/A Are the coefficients (slope and/or constant) significant at the .05 level?
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