ANOVA df Regression 2 Residual Total SS 72.6374 14 58.0438 16 130.681 InterceptUnemployment Advertising MS 36.3187 4.1460 Coefficients Standard error 17.5060-0.6879 0.0266 3.9817 0.2997 0.0068 F 8.760 t stat 4.397 -2.296 3.932 Significance F0.003 p-value 0.007 0.038 0.002 a. At the 5% significance level, test whether thepredictor variables jointly influence sales. b. At the 1% significance level, test whetherthe unemployment rate is negatively related with sales. c. At the 1% significancelevel, test whether advertising expenditures are positively related with sales.

The random variable under study is Sales Unemployment AdvertisementThe regression model is fitted on…

Answered: ANOVA df Regression 2 Residual Total SS…

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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Perform the analysis of variance (ANOVA) at the a = 0.05 to identify is there any significant differece in the mean between the populations. It is known that there are three populations with five samples in each popula- tion in this analysis. (c) Source of variation Sum of squares 944.9333 Between Within 2224.8000 Table 4.1: Sum of squares
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10. What is the answer in (5) in the ANOVA Table?
A. Null and alternative hypotheses B. Level of significance and other given information C. Test statistics to be used and the computation using the test statistics D. Critical regions and the normal curve representation of the critical regions E. Decisions and conclusion using test statistics F. Decisions and conclusion using p-value
12. What is the answer in (7) in the ANOVA Table?
E Question Help Find the indicated IQ score. The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15. Click to view page 1 of the table Click to view page 2 of the table, 0.97 The indicated IQ score, x, is (Round to one decimal place as needed.) Enter your answer in the answer box. Save for Later O vA 12:50 esc DII @ 23 %24 96 & back 3 4 6 8 y u
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Ques = Homework: Ch 8 - Sampling Distributions Critical values of the correlation coefficient ars. Com - X Int. Critical Values for Correlation Coefficient Data table 3 0,997 4 0.950 5 0.878 6 0.811 7 0.754 Year Rate of Return of Company Rate of Return of Company ble. Chod 6 2 2007 0.203 0.402 8 0.707 9 0.666 10 0.632 2008 0.310 0.510 2009 0.267 0.410 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 2010 0.195 0.426 2011 -0.101 -0.060 2012 - 0.130 -0.151 2013 -0.234 -0.357 2014 0.264 0.328 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 2015 0.090 0.207 2016 0.030 -0.014 2017 0.128 0.113 2018 - 0.035 0.027 22 0.423 23 0.413 24 0.404 25 0.396 Print Done 26 0.388 27 0.381 Tne correlauon coeicient is- (Round to three decimal places as needed.) Print Done
\multicolumn2|c|Regression Statistics Multiple R R Square Adjusted R Square 0.6365 0.4051 0.289 Standard Error 5.65 Observations 50 ANOVA df SS MS F Significance F Regression 8 890 111.25 3.49 0.00369246 Residual 41 1307 31.88 Total 49 2197 Determine each of the following from the output: R2| = Se = MSR =
11
Based on the table below, what is the value of SST? (round to 2 decimal places) ANOVA df SS MS Regression 96 0.18 3 28.06 10.712 Residual 146 12.09 Total Coefficients Standard Error t Stat P-value Intercept 2.28249535 0.47 4.88 0.164989 Exercise 0.25590156 0.08 3.1 5.577E-17 Your Answer: Answer
Treatment II III 2 N = 24 G = 72 EX2 = 292 3 M = 2 M = 3 T = 16 T= 24 T= 32 SS = 16 SS = 24 SS = 20 Use an ANOVA with a = .05 to determine whether there is a significant mean difference between the two treatments. (Round to two decimal places where needed.) Source df MS Feritical Between treatments Within treatments Total F Distribution Numerator Degrees of Freedom = 6 Denominator Degrees of Freedom = 16 0.0 1.0 3.0 4.0 5.0 6.0 7.0 9.0 11.0 120 Conclusion: Fail to reject the null hypothesis; there are no significant differences among the three treatments. Reject the null hypothesis; there are no significant differences among the three treatments. Reject the null hypothesis; there are significant differences among the three treatments. o Fail to reject the null hypothesis; there are significant differences among the three treatments.

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