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(d) Calculate the error sum of squares, which is a measure of within SSE = (use four decimals in your answer) (e) Complete the ANOVA table. Note that you've already found two of the three sums of squares. Use four the F test statistic to 2 decimals. The appropriate hypotheses are: O Ho: 12 = μ3 = μ¹4 Ha: 1

(d) Calculate the error sum of squares, which is a measure of within SSE = (use four decimals in your answer) (e) Complete the ANOVA table. Note that you've already found two of the three sums of squares. Use four the F test statistic to 2 decimals. The appropriate hypotheses are: O Ho: 12 = μ3 = μ¹4 Ha: 1

MATLAB: An Introduction with Applications
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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STATISTICS(UPVOTE WILL BE GIVEN. PLEASE ANSWER THE FOLLOWING PROBLEMS. FOLLW THE INSTRUCTION CAREFULLY NO LONG EXPLANATION NEEDED. BOX THE FINAL ANSWERS.)
(d) Calculate the error sum of squares, which is a measure of within SSE = (use four decimals in your answer) (e) Complete the ANOVA table. Note that you've already found two of the three sums of squares. Use four the F test statistic to 2 decimals. The appropriate hypotheses are: O Ho: 12 = 13 = μ¹4 Ha: H1 H₂ H3 <H4 O Ho: 1 = H₂: 141 Source of Variation Treatment Error Total ₂ = μ3 = μ¹4 14₂ 143 144 (f) Do the data provide convincing evidence that the mean rating associated with the game description by rating labels? Test the appropriate hypotheses using a significance level of 0.025. sample variation. df O Ho: 1 = 2 = μ3 = μ¹4 Ha: all of the population means are different O Ho: H1 H2 = 3 = 4 Sum of Squares
Transcribed Image Text:(d) Calculate the error sum of squares, which is a measure of within SSE = (use four decimals in your answer) (e) Complete the ANOVA table. Note that you've already found two of the three sums of squares. Use four the F test statistic to 2 decimals. The appropriate hypotheses are: O Ho: 12 = 13 = μ¹4 Ha: H1 H₂ H3 <H4 O Ho: 1 = H₂: 141 Source of Variation Treatment Error Total ₂ = μ3 = μ¹4 14₂ 143 144 (f) Do the data provide convincing evidence that the mean rating associated with the game description by rating labels? Test the appropriate hypotheses using a significance level of 0.025. sample variation. df O Ho: 1 = 2 = μ3 = μ¹4 Ha: all of the population means are different O Ho: H1 H2 = 3 = 4 Sum of Squares
:) Use the accompanying Minitab output to obtain the equation of the least squares line for predicting strength from modulus of elasticity. (Enter your slope to five decimal places, and your intercept to four decimal places.) Predictor Constant Coef 3.2925 mod elas 0.10748 s = 0.8657 R-sq 73.8% Analysis of Variance SOURCE DF Regression 1 25 26 Error Total Stdev 0.6008 0.01280 y = 0.1075x + 3.2908 SS 52.870 18.736 71.605 t-ratio P 5.48 0.000 8.40 0.000 R-sq (adj) = 72.8% MS 52.870 0.749 F 70.55 P 0.000 Predict strength for a beam whose modulus of elasticity is 65. (Round your answer to two decimal places.) Would you feel comfortable using the least squares line to predict strength when modulus of elasticity is 100? Explain. No, this value is way beyond of the range the y values of the data values. O No, this value is way beyond of the range the x values of the data values. O Yes, this value is inside of the range the x values of the data values. O Yes, this value is inside of the range the y values of the data values. X
Transcribed Image Text::) Use the accompanying Minitab output to obtain the equation of the least squares line for predicting strength from modulus of elasticity. (Enter your slope to five decimal places, and your intercept to four decimal places.) Predictor Constant Coef 3.2925 mod elas 0.10748 s = 0.8657 R-sq 73.8% Analysis of Variance SOURCE DF Regression 1 25 26 Error Total Stdev 0.6008 0.01280 y = 0.1075x + 3.2908 SS 52.870 18.736 71.605 t-ratio P 5.48 0.000 8.40 0.000 R-sq (adj) = 72.8% MS 52.870 0.749 F 70.55 P 0.000 Predict strength for a beam whose modulus of elasticity is 65. (Round your answer to two decimal places.) Would you feel comfortable using the least squares line to predict strength when modulus of elasticity is 100? Explain. No, this value is way beyond of the range the y values of the data values. O No, this value is way beyond of the range the x values of the data values. O Yes, this value is inside of the range the x values of the data values. O Yes, this value is inside of the range the y values of the data values. X
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