**SAS Output Analysis for Regressions**This page provides an overview of how to analyze regression output using SAS for a random sample of size 20.### Regression of $ y $ on $ x_1 $ and $ x_2 $- **Number of Observations Read:** 20- **Number of Observations Used:** 20#### Analysis of Variance Table| Source | DF | Sum of Squares | Mean Square | F Value | Pr > F ||---------|----|----------------|-------------|---------|---------|| Model | 2 | 1317.79841 | 658.89921 | 20.84 | <.0001 || Error | 17 | 537.40359 | 31.61198 | | || Corrected Total | 19 | 1855.20200 | | | |#### Summary Statistics- **R-Square:** 0.818318- **Coefficient Variance:** 22.31297- **Root MSE:** 4.589778- **y Mean:** 20.57000#### Parameter Estimates| Parameter | Estimate | Standard Error ||-----------|------------|----------------|| Intercept | -36.7649258| 7.01092577 || x1 | 0.00076294 | 0.00063630 || x2 | 1.19217421 | 0.56165391 |#### Type I SS| Source | SS ||--------|-----------|| x1 | 1.352481 || x2 | 1309.445931|#### Type III SS| Source | SS ||--------|-----------|| x1 | 30.2855361|| x2 | 94.9129162|### Regression of $ y $ on $ x_1, x_2, $ and $ x_3 $#### Analysis of Variance Table| Source | DF | Sum of Squares | Mean Square | F Value | Pr > F ||---------|----|----------------|-------------|---------|---------|| Model | 3 | 1519.144491 | 506.048114 | 24

Type I SS: In regression analysis, the Type I sum of squares, referred to as sequential sum of…

Answered: c) Does the addition of X significantly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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O1h 29m Remaining 8.MCTQ Section Exercise 1 A hypothesis test is to be performed. Determine the null and alternate hypotheses. dlo In 1991, the average duration of long-distance telephone calls originating in one town was 6.9 minutes. A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 1991 mean of 6.9 minutes. Ho:u = 6.9minutes Hu 6.9minutes Ho:µ=6.9minutes H:u + 6.9minutes Ho:µ +6.9minutes H:µ=6.9minutes Submit Assignment O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy S6 5/2 nere to search hp delete
(d) Use a t-test to test if the relationship between years of experience and income is statistically significant at the 0.05 level of significance. State the null and alternative hypotheses. O Ho: B₁ ≥ 0 H₂: B₁< < 0 Ho: B₁ = 0 Ha: B₁ * 0 O Ho: B₁ * 0 Ha: B₁ = 0 о ново = 0 Ha: Bo # 0 Ho Bo # 0 Ha: Bo Find the value of the test statistic for the t-test. (Round your answer to three decimal places.) = = 0 Find the p-value. (Round your answer to four decimal places.) p-value What is your conclusion? O Reject Ho. We conclude that the relationship between years of experience and income is significant. O Do not reject Ho. We cannot conclude that the relationship between years of experience and income is significant. O Reject Ho. We cannot conclude that the relationship between years of experience and income is significant. O Do not reject Ho. We conclude that the relationship between years of experience and income is significant. (e) Calculate the coefficient of determination. (Round your…
Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) Score 180 74 В 150 69 95 63 70 56 70 40 F 35 28 (a) The estimated regression equation for this data is ý = 25.870 + 0.291x, where x = price ($) and y = overall score. Does the t test indicate a significant relationship between price and the overall score? Use a = 0.05. State the null and alternative hypotheses. O Ho: Bo * 0 H: Bo = 0 O Ho: B1 20 Hoi Bq < 0 O Ho: Bo = 0 Hg: Bo 0 O Ho: B1* 0 H: B, = 0 O Ho: B, = 0 H: B1 = 0 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = What is your conclusion? O Do not reject H. We conclude that the relationship between price ($) and overall score is significant. O Do not reject…
8/ a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses? The test statistic, t, The P-value is State the conclusion for the test. A. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. B. Reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. D. Reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights…
Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 138 to 190 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.88 cm, y = 81.51 kg, r=0.195, P-value = 0.052, and y= - 105 + 1.05x. Find the best predicted value of y (weight) given an adult male who is 184 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 184 cm tall is kg. (Round to two decimal places as needed.)
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c) Does the addition of X significantly contribute to prediction of y after accounting for the contribution of X₂? Use=0.05- O Reject the null hypothesis O Do not reject the null hypothesis