Using the following information. CoefficientsIntercept−12.8094Independent variable2.1794ANOVA dfSSMSFRegression112,323.5612,323.5690.0481Residual81,094.842136.8553 Total913,418.4 If testing the hypothesis H0: ρ = 0, the computed t-statistic is ________.

Answered: Using the following information.…

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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Using the following information. Coefficients -12.8094 Intercept Independent variable 2.1794 ANOVA df SS MS F Regression 1 12,323.56 12,323.56 90.0481 Residual 8 1,094.842 136.8553 Total 9. 13,418.4 If testing the hypothesis Ho: p= 0, the computed t-statistic is
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A regression analysis done with Excel for the relationship between The placement test scores and the final grades for 20 students who took the regular course were recorded and yielded the following output. SUMMARY OUTPUT Regression Storistics Multiple R 0.45351 R Square 0.20567 Adjusted F 0.16155 Standard E 16.1747 Observatic 20 ANOVA MS F SS 4.66073 1219.35 gnificance F 0.04461 1 1219.35 Regressior Residual Total 18 4709.2 261.622 19 5928.55 Chart Area Coefficientsandard Errt Stat P-value Lower 95% Upper 95%ower 95.0%pper 95.0% 0.0192 5.95316 59.0587 5.95316 59.0587 Intercept 32.5059 12.6386 2.57195 X Variable 0.47106 0.2182 2.15887 0.04461 0.01264 0.92948 0.01264 0.92948 According to the model, If the placement test score is 79, the course grade will be A. 32.51 B. 69.64 C. 32.95 D. 91
A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. A regression ANOVA shows the following results. ANOVA df SS MS F Significance F Regression 1.00 13,555.42 13,555.42 156.38 0.00 Residual 8.00 693.48 86.68 Total 9.00 14,248.90 What is the value of the coefficient of determination? Multiple Choice −0.9513 0.9754 0.6319 0.9513
The following is the ANOVA obtained from a regression analysis: ANOVA Source of Variation REGRESSION ERROR TOTAL Degree of Freedom 1 104 Sum of Squares 14.6 440.9 Mean Squares F-calculated === Your are interested to evaluate the following hypothesis: Ho: B 1 B 2 ---against--- HA: B1 B2 1. How many observation were used in this experiment? (place your answer in the box below) 2. Evaluate the F calculated for the regression, and indicate if you are going to reject(R) or fail to reject(R) the null hypothesis using an a= 0.01 (R/FR; place your answer right beside the calculated number of treatments)
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This question has been partcially answered. The last time asked Part C was answered incorrectly. I need help with C through E please In the following regression, X = total assets ($ billions), Y = total revenue ($ billions), and n = 64 large banks. R2 0.519 Std. Error 6.977 n 64 ANOVA table Source SS df MS F p-value Regression 3,260.0981 1 3,260.0981 66.97 1.90E-11 Residual 3,018.3339 62 48.6828 Total 6,278.4320 63 Regression output confidence interval variables coefficients std. error t Stat p-value Lower 95% Upper 95% Intercept 6.5763 1.9254 3.416 .0011 2.7275 10.4252 X1 0.0452 0.0055 8.183 1.90E-11 0.0342 0.0563 (a) Write the fitted regression equation. yˆy^ = 6.5763 6.5763 Correct + 0.0452 0.0452 Correct X (b-1) State the degrees of freedom for a two-tailed test for zero slope, and use Appendix D to…
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rse ations Suppose a study was done to determine whether the average amount of sleep that students get the night before an exam is less than 6 hours. An SRS of 100 students from a university was taken, and a mean of 5.5 hours was computed from the sample. The figure below provides the results of the analysis. Normal calculator Density 04 0.3 02 0.1 0 -3 -2 Mean: 0 Std. Dev. 1 Prob(X<= -2.5 )=0.0062096654 Snapshot Close Compute What is your conclusion based on the results of this study? (Assume a significance level of 0.05.) O On average, students typically get less than 6 hours of sleep the night before an exam. O On average, students typically get 6 hours of sleep the night before an exam. O On average, students typically get more than 6 hours of sleep the night before an exam. O On average, students typically get 5.5 hours of sleep the night before an exam.

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	Coefficients
Intercept	−12.8094
Independent variable	2.1794

ANOVA
	df	SS	MS	F
Regression	1	12,323.56	12,323.56	90.0481
Residual	8	1,094.842	136.8553
Total	9	13,418.4

Using the following information. Coefficients Intercept −12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12,323.56 12,323.56 90.0481 Residual 8 1,094.842 136.8553 Total 9 13,418.4 If testing the hypothesis H0: ρ = 0, the computed t-statistic is _______