O A. No, -5.8 is not contained in the 95% confidence interval for B,.B. Yes, -5.8 is contained in the 95% confidence interval for B1.The 99% confidence interval for Bo is ( D. (Round your responses to one decimal place.) Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regressionTestScore = 541.2160 + (-6.0528)× CS, R = 0.11, SER= 12.0(21.2160) (2.3426)Construct a 95% confidence interval for B,, the regression slope coefficient.The 95% confidence interval for B1, the regression slope coefficient, is(, ). (Round your responses to two decimal places.)The t-statistic for the two-sided test of the null hypothesis Ho: ß1 = 0 is| | (Round your response to four decimal places.)Note: Assume a normal distribution.The p-value for the two-sided test of the null hypothesis Ho: B, = 0 isis. (Round your response to four decimal places.)Do you reject the null hypothesis at the 1% level?O A. Yes, because the p-value is less than 0.01.O B. Yes, because the t-statistic is greater than 2.58.O C. Yes, because the t-statistic is less than 2.58.O D. No, because the p-value is greater than 0.01.The p-value for the two-sided test of the null hypothesis Ho: B1.= - 5.8 is(Round your response to four decimal places.)Without doing any additional calculations, determine whether - 5.8 is contained in the 95% confidence interval for B..O A. No, -5.8 is not contained in the 95% confidence interval for B4.O B. Yes, - 5.8 is contained in the 95% confidence interval for B,.

Solution: Given information: n= 100 observation. β0^= 541.2160 Intercept of the regression…

Answered: Lhe regression TestScore = 541.2160 +…

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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A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y).The results of the regression were: y=ax+b a=5.088 b=26.56 r2=0.913936 r=0.956 Use this to predict the final exam score of a student who studies 4.5 hours per week, and please round your answer to a whole number.
The regression equation is: ŷ = 67.16 + 8.417x where ŷ is the miles traveled, and x is the MPG. The sample size used was all 110 MPG records. The correlation coefficient r = 0.620. Use the information to obtain an estimate of my mileage if my MPG is 22. Is it option: a.) cannot estimate ŷ rcrit = 0.195; the correlation IS NOT significant b.) ŷ = 252.33 rcrit = 0.195; the correlation IS significant c.) ŷ = 252.33 rcrit = 0.187; the correlation IS significant d.) cannot estimate ŷ rcrit = 0.187; the correlation IS NOT significant
I need help with the test statistic only. Thanks.
2
The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.942x +27.609. Find the standard error of estimate s, and interpret the result. 793.9 1042.3 957.7 1203.3 450.7 673.7 745.1 778.6 Money raised, x Money spent, y 734.8 1024.2 929.1 1160.6 448.6 697.9 735.7 751.2 Find the standard error of estimate s, and interpret the result. (Round to three decimal places as needed.) How can the standard error of estimate be interpreted? O A. The standard error of estimate of the money raised for a specific amount of money spent is about s, million dollars. O B. The standard error of estimate of the money spent for a specific amount of money raised is about s, million dollars.
n a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 For this estimated regression equation, SST = 1,855 and SSR = 1,810. (a) At ? = 0.05, test the significance of the relationship among the variables. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = Suppose variables x1 and x4 are dropped from the model and the following estimated regression equation is obtained. ŷ = 11.1 − 3.6x2 + 8.1x3 For this model, SST = 1,855 and SSR = 1,755. (b) Compute SSE(x1, x2, x3, x4). SSE(x1, x2, x3, x4) = (c) Compute SSE(x2, x3). SSE(x2, x3) = Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value =
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12 A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.531 b=23.45 r2=0.378225 r=0.615 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole numbe
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