Using data in table "T6-2.dat", perform hypothesis testing of repeated measures,whereНо: Си3 0,[1 -1C = 0 1lo o 1 -1.0 0Where-1 0Using R programming Compute the following:1. Mean vector x.bar2. Mean difference Cx.bar3. Variance covariance matrix S,4. Computed test statistic T2,5. degrees of freedom df6. Critical value7. Decision8. Simultaneous confidence intervals using linear combinations 426 609 556 600253 236 392359432 431 522 600405324310326375 447 547 548395433 349 357426 513 513438 507 539312 410 456326 350 504286286 403 422382 473 497410 488 547377 447 514349429348412 473 472 446347 326 455 468434 458 637 524364 367 432 469420 395 508 531397 556 645 625

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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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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of fifteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation y = 40.63 - 0.46x . This line is shown in the scatter plot below. Mileage, x(in thousands) Used selling price, y(in thousands of dollars) 23.9 29.5 37.6 22.6 20.8 30.9 23.3 33.1 28.3 26.1 27.3 29.9 27.7 29.8 20.9 30.3 25.8 27.2 34.4 25.9 23.9 27.4 23.8 27.5 23.2 31.4 15.6 34.0 29.4 27.7 Send…
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Q3. Find out the regression coefficients of Y on X and of x on Y on the basis of following data: Ex = 50, X = 5, EY = 60, Y = 6, EXY = 350 Variance of X= 4, Variance of Y= 9
Q22. Find out the regression coefficients of Y on X and of X on Y on the basis of following data: Ex = 50, X = 5, Y = 6, ΣΥ- = 60, ΣΧΥ350 Variance of X= 4, Variance of Y= 9
В. A model estimated using a dataset with 125 observations generates the following results. SS df MS Regression 919587.543 4 229896.9 Error 2590390.62 121 534.2113 Std. Variable B Error t P>lt| X2 -0.0126355 0.005519 -2.28937 0.022 X3 0.5957923 0.014482 41.13934 0.000 Х4 1.124589 0.877192 1.282032 0.200 X5 0.3237421 0.060709 5.332661 0.000 constant 8.86016 1.766116 5.016749 0.000 What is the R2 for this sample? What information does the R² provide?
Conduct a realted-sample t-test using the following data set. Each row represents a pairof scores A B 18 4 35 40 31 14 30 18 40 30 25 27 11 17 30 18 28 12 20 20 determine critical values (for an alpha of .05) that you should use to evaluate this t-score and compute r^2 for this test.
Given are the data for two variables x and y. xi 6 11 15 18 20 yi 6 8 12 20 30 D. Compute the standard residuals. Enter negative valies as negative numbers. 1. ? 2 ? (To 4 decimal places) 3. ? (To 4 decimal places) 4 ? (To 4 decimal places) 5 ? (To 4 decimal places) Thank you
Consider a set of data (x₁, yi), i=1,2,..0 and the Simple linear regression equation given by : 4 y₁ = B₁+ B₁²x₁ The /s Standardized random variable of given by 2= B₂₁ - B²₁₂² FSSxx find the mean and the variance of Zo
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of fifteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation y = 40.86-0.45x. This line is shown in the scatter plot below. Mileage, x (in thousands) 29.7 27.8 26.8 24.2 21.1 23.0 24.3 15.4 37.7 23.6 34.4 27.8 23.5 20.9 259 Used selling price, y (in thousands of dollars) 27.4 29.4 31.2 30.1 31.7 31.7 27.2 34.2 23.4 28.2 26.3 26.5 33.7 30.6 267 Used selling price (in thousands of dollars) 40- 35+ 30- 25- 20 THIS 15 X 20 X X X 30 Mileagex (in thousands) X 35 40
The following sample contains the scores of 6 students selected at random in Mathematics and English. Use the scores in English as the dependent variable Y. Mathematics score (X) 70 92 80 74 65 83 English score (Y) 74 84 63 87 78 90 ∑x=464, ∑y=476,∑x^2=36354,∑y^2=38254, ∑xy=36926. Estimate the regression parameters and also write the prediction equation.
Q22. Find out the regression coefficients of Y on X and of X on Y on the basis of following data: ΣΧ- 50 X = 5, Er = 60, F=6, ΣΧΥ-350 Variance of X= 4, Variance of Y= 9
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation Ŷ=42.80-0.53x. This line is shown in the scatter plot below. (The 2nd picture contains the rest of the data as it would not fit in the first pic and it includes the question as well.)

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Using data in table "T6-2.dat", perform hypothesis testing of repeated measures, where Ho: Cu= 0, [1 -1 C = 0 Lo 0 01 -1 0 Where 1 1 Using R programming Compute the following: 1. Mean vector x.bar 2. Mean difference Cx.bar