What is the correct answer?In a regression analysis the standard error is determined to be 4. In this situation the MSE- a. is 2b. is 16c. depends on the sample sized. depends on the degrees of freedom

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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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**Answer the questions with the data on picture, please. a) Determine the sample correlation coefficient rxy b) Determine the sample regression equation: y= b0+b1x c) Compute the coefficient of determination. d) What is the predicted explanatory value if the response value is 8?
Given are five observations for two variables, X and Y. The estimated regression equation for these data is y = 74.41 - 2.89x (NEED ANSWERS FOR A, B, C) a. Compute SSE, SST, and SSR. b. Compute the coefficient of determination r2. Comment on the goodness of fit. 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). c. Compute the sample correlation coefficient. Enter negative value as negative number.
a. What is a residual? b. In what sense is the regression line the straight line that "best" fits the points in a scatterplot? a. What is a residual? A. A residual is a value of y−y, which is the difference between an observed value of y and a predicted value of y. B. A residual is a value that is determined exactly, without any error. C. A residual is the amount that one variable changes when the other variable changes by exactly one unit. D. A residual is a point that has a strong effect on the regression equation. b. In what sense is the regression line the straight line that "best" fits the points in a scatterplot? The regression line has the property that the ▼ sum of squares sum of the residuals is the ▼ lowest highest possible sum.
. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…
Hi I know that you can’t answer all questions. Can you just answer question 6 please.
APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?
o pis pe Suppose a doctor measures the height, x, and head circumference, y. of 11 children and obtains the data below. The correlation coefficient is 0.899 and the least squares regression line is y = 0.185x+ 12.276. Complete parts (a) and (b) below. Height, x Head Circumference, y 17.4 17.1 17.2 16.9 17.4 17.1 17.1 17.3 17.3 17.3 17.4 27.75 25.75 26.75 25.75 28 26.5 25.75 26.75 27 27.25 27.25 (a) Compute the coefficient of determination, R?. R2 = % (Round to one decimal place as needed) (b) Interpret the coefficient of determination k Approximately % of the variation in (Round to one decimal place as needed.) is explained by the least-squares regression model. Enter your answer in each of the answer boxes. Save for Later DUE RTTT:DY PIVT Score: o:5SYO Tor Tv attempts 3:35 PA- a 2/22/202 Type here to search insert prt sc 4+ backsp %23 6. 8.
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 6 7 6 2 Click here for the Excel Data File a. The regression equation is ŷ = b. When X is 5 this gives ŷ = 54
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 4 7 5 6 y 7 6 5 2 1 Click here for the Excel Data File The regression equation is ŷ = a. + b. When X is 7 this gives ŷ = %3D
5 prac
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 3 5 3 7 6 y 2 6 5 7 E Click here for the Excel Data File la. The regression equation is ŷ = b. When X is 4 this gives ŷ =
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What is the correct answer? In a regression analysis the standard error is determined to be 4. In this situation the MSE a. is 2 b. is 16 c. depends on the sample size d. depends on the degrees of freedom