The table below lists measured amounts of redshift and the distances (billions of light-years) to randomly selected astronomical objects. There issufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For theprediction interval, use a 90% confidence level with a redshift of 0.0126. Find the explained variation.RedshiftDistanceO A. 0.132485OB. 0.461485O C. 0.000665O D. 0.2006650.02340.320.05440.760.07210.980.03940.530.04360.610.01060.13S

Answered: The table below lists measured amounts…

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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Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final =B₁ + B₁ atndrte + B₂hwrte + Â¸priGPA+ Â¹ ACT reg final atndrte hwrte priGPA ACT Source Model 3094.70776 Residual 11929.9465 SS Total 15024.6543 final atndrte hwrte priGPA ACT _cons df MS 773.676939 4 669 17.832506 673 22.324895 Coef. Std. Err. Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 1.46863 9.225908 Construct a 95% confidence interval about 33. The lower bound is |||||||||||| 674 [95% Conf. Interval]
A professor obtains SAT scores and freshman grade point averages (GPA) for a group of n=15 college students. The SAT scores have a mean of M=580 with SS=22,400, and GPA has a mean of 3.10 with SS=1.26, and SP=84.c. Does the regression equation account for a significant portion of the variance in GPA? Use ?=.05α=.05 to evaluate the F-ratio.
Listed.below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 1000 mm Hg. Use a significance level of 0.05. Right Arm 102 101 94 79 79 O Left Arm 175 168 146 147 145 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y= X. (Round to one decimal place as needed.)
Listed below are systolic blood pressure measurements (in mm H) obtained from the same woman. Find the regression equation, letting the fight arm blood pressure be the predictor (x) variable, Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 90 mm Hg. Use a significance level of 0.05. Right Arm 100 99 93 76 77 9 Left Arm 176 169 118 145 146 EB Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is 9 = 7 + 7x (Round to one decimal place as needed.) Given that the systolic blood pressure in the right arm is 90 mm Hq, the best predicted systolic blood pressure in the left arm is mm Hg. (Round to one decimal place as needed.)
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet). Altitude 8 15 22 28 31 33 Temperature 56 39 24 - 28 - 41 - 60 a. Find the explained variation. (Round to two decimal places as needed.)
49
The table below lists measured amounts of redshift and the distances (billions of light-years) to randomly selected astronomical objects. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 90% confidence leve with a redshift of 0.0126. Redshift Distance 0.0231 0.31 a. Find the explained variation. 0.0536 0.77 (Round to six decimal places as needed.) b. Find the unexplained variation. (Round to six decimal places as needed.) c. Find the indicated prediction interval. 0.0716 0.0395 1.01 0.53 billion light-years
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85 mm Hg. Use a signicance level of 0.05. Right Arm 102 101 93 76 77 Left Arm 177 170 147 148 148
The coefficient of correlation in a simple regression analysis is = -0.6. The coefficient of determination for this regression would be 0.36 - 0.36 0.6 0.13 O 0.6 or + 0.6
QUESTION 5 A hospital analyzed, for several randomly selected employees, the relationship between the employee's annual and the distance the employee must travel between home and work (in 10s of miles). The regression analysis sh -50.40. What is the sample correlation? a. -0.9073 b. None of the answers is correct C. -0.8256 d. -0.9525 e. -0.8871 QUESTION 6 Dep.=Annual Sales Indep.=Salespersons SUMMARY OUTPUT Regression Statistics Multiple R Click Save and Submit to save and submit. Click Save All Answers to save all answers. MacBook 000 D00 F4
The accompanying table lists overhead widths (cm) of seals measured from photographs and the weights (kg) of the seals. Find the (a) explained variation, (b) unexplained variation, and (c) prediction interval for an overhead width of 8.9 cm using a 99% confidence level. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. Click the icon to view the seal data. a. The explained variation is (Round to the nearest integer as needed.) b. The unexplained variation is. (Round to the nearest integer as needed.) c. The 99% prediction interval for an overhead width of 8.9 cm is kg
10.99

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