CheckUsing the appropriate model, sample size n, and output below:Model: y = 6e + 61x1 + 62x2 + 63×3 + ɛ Sample size: n= 16%3DRegression StatisticsMultiple RR SquareAdjusted R Square0.99850.99700.9963Standard Error338.7718Observations16ANOVADFSSSignificance FMSFRegressionResidual462,738,786.17381,377,195.7232154, 246, 262.05791,344.00300.000012114, 766.3103Total15464,115,981.8970(1) Report the total variation, unexplained variation, and explained variation as shown on the output. (Round your answers to 4decimal places.)3. Check n(1) Report the total variation, unexplained variation, and explained variation as shown on the output. (Round your answers to 4decimal places.)Total variationUnexplained variationExplained variation(2) Report R2 and R as shown on the output. (Round your answers to 4 decimal places.)R^2R-bar^2

The objective is to find out total variation, unexplained variation, and explained variation from…

Answered: Using the appropriate model, sample…

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 students in Oxnard College sampled 11 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 957 148.98 624 100.36 869 137.66 281 40.34 259 39.26 579 82.06 309 52.26 485 83.9 797 113.58 338 54.32 911 138.54 A student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 200.Cost = $ (Please show your answer to 2 decimal places.)
Consider the ANOVA table shown here for a one-way analysis of variance for an experimental design in which there are four treatment levels: Source Between Error Total Df 29 SS 485.50 715.50 The observed F value is ____. MS F
In order to estimate the difference between the average miles per gallon of two different models of automobiles, samples are taken and the following information is collected. Sample Size Sample Mean Sample Variance Model A a. 65 26 16 Model B 45 28 a 9 At 95% confidence, develop an interval estimate for the difference between the average miles per gallon for the two models. Is there conclusive evidence to indicate that one model gets a higher miles per gallon than the b. other? If yes, explain how you know this and which model is higher. If no, explain how you know that there is not enough evidence.
A multiple regression analysis produced the following tables. Predictor Coefficients StandardErrort Statistic p-valueIntercept -139.609 2548.989 -0.05477 0.957154x 24.24619 22.25267 1.089586 0.295682x 32.10171 17.44559 1.840105 0.08869Source df SS MS F p-valueRegression 2 302689 151344.5 1.705942 0.219838Residual 13 1153309 88716.07Total 15 1455998Using = 0.01 to test the null hypothesis H :?1 = ?2 = 0, the critical F value is ____.6.701.964.845.995.70
Statistics students in Oxnard College sampled 11 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (xx) Cost(yy) 942 59.1 453 24.65 789 41.45 473 34.65 302 25.1 567 23.35 482 32.1 511 26.55 285 28.25 529 35.45 477 19.85 Click to Copy-and-Paste DataA student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model above to estimate the cost when the number of pages is 736Cost = $ (Please show your answer to 2 decimal places.)
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Use the Excel printout to answer the following questions. t-Test: Two-Sample Assuming Equal Variances E Variable 1 Variable 2 Mean 28.671 28.215 Variance 5.061 2.225 Observations 8 7 Pooled Variance 3.752 Hypothesized Mean Difference df 13 t Stat 0.455 P(T <= t) one-tail 0.328 t Critical one-tail 1.771 P(T <= t) two-tail 0.657 t Critical two-tail 2.160 In testing for a difference between the two population means, would you conclude that the assumption of a common variance is reasonable? O Yes, the ratio of the the larger variance to the smaller variance is less than three. O Yes, the ratio of the larger variance to the smaller variance is more than three. O No, the ratio of the larger variance to the smaller variance is less than three. O No, the ratio of the larger variance to the smaller variance is more than three. O It is not possible to check that assumption with the given information. What is the observed value of the test statistic? t = What are the degrees of freedom for the…
Repeated baseline measurements help improve the ____ of a single-subject study. A.Ecological validity B. Generalizability C. Internal validity D. Sample's representativeness
Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 9090 total observations. Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size)Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size) ANOVA dfdf SSSS MSMS F� Significance F� Regression 22 306,443.7975306,443.7975 153,221.8988153,221.8988 21.727421.7274 2.2211E-082.2211E-08 Residual 8787 613,525.5190613,525.5190 7052.01757052.0175 Total 8989 919,969.3165919,969.3165 What percent of variation in housing prices is explained by the number of bedrooms and lot size? Round your answer to two decimal places
Given the ANOVA table below, what is the % Contribution for the Repeatability variance component? ANOVA Source of Variation df MS F P-value F crit oper 33.48848222 2 16.74424111 4.401122344 0.016461117 3.150411311 parts 2269.004694 9 252.1116327 66.26601543 7.98647E-28 2.040098055 oper*part 113.4786289 18 6.304368272 1.657065010.074368643 1.778446085 error 228.2723333 60 3.804538889 Total 2644.244139 89 1.44% O 1.97% 9.29% O 34.32% 11.78% O 1.67% O 3.64% 61.22% O 8.46%
Excessive fertilizer and surface runoff can result in heavy phosphorus concentrations and reduced oxygen levels in lakes and ponds. This can lead to die-off of insects, fish, an increase in algae, and overall reduced health of the ecosystem. With the increase in algae, you are concerned about the amount of dissolved oxygen (DO). You measure the average DO levels in randomly sampled lakes in two different types (urban and rural) at the same time of year. Conduct a hypothesis test at 5% level of significance. Is there evidence to suggest that the average DO levels are significantly higher in lakes found in rural areas when compared to lakes in more urban areas? Use the table below. What is the test statistic?

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