Which of the following statements is NOT correct about the hypothesis test of comparing two correlation coefficients?O a. As the sample size increases, the critical value for the z-test will become smaller in absolute valueO b. Table D (transformation of r to z) shows that when r is smaller, the corresponding z is very close to rO c. For the computation, the two correlation coefficients should be converted into z-scores firstO d. Because r distribution is severely skewed, we can't directly use r for the hypothesis test

We have to find that which of the following statements is NOT correct about the hypothesis test of…

Answered: Which of the following statements is…

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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a) Determine 99% confidence limits for beta(symbol couldn't write) (the slope of the regression line) and alpha (the intercept of the regression line). b) 34. Determine 99% prediction limits for Y when X = 41.7 and 95% prediction limits for Y when X = 61.5. c) draw a scatter plot.
1 The results below are based on a sample of 20 employees selected to study the relationship between income (Y, in $1,000) and four variables: Age (X1, in years), work experience (X2,in years), number of years of education (X3), and number of past jobs (X4). Find the lower end point in a 90% confidence interval for the change in the mean salary in dollars, for a unit change in number of past jobs, assuming that the other predictors remain unchanged. Note that normality is assumed for the multiple regression model. Standard Coeffcient Error Intercept-9.611198 2.77988638 Age 1.327695 0.1149193 Experience -0.106705 0.14265559 7.311332 0,80324187 Educ PastJobs -0.504168 0.44771573 Type your numerical answer here. Numbera only
Which of the following is NOT true about what a t test does? It assess the causality between two numeric values. It is used when the IV is nominal and DV is continuous. It compares two groups' means. It can be used with single-sample or between-subject designs.
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of = 0.05. E Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA. OB. Oc. OD. 70- 70- Q 70- 70- ... ++++++ 20 - 20 Best Actress (years) 20- 70 20 Best Actress (years) 20- 20 Best Actress (years) 70 20 Best Actress (years) 70 70 Best Actresses and Best Actors Best Actress 27 29 30 58 33 34 46 30 62 22 44 51 D Best Actor 44 36 38 44 53 46 56 49 41 52 44 33
(i) State the hyptheses. (ii) Sketch a scatter plot tat best represents the data. (iii) Compute the value of the correlation coefficient. Round the answer to at least three decimal places. (iv) Find the P-value. Round the answer to at least four decimal places. Test the significance of r at α=0.05. Determine whether to reject or not reject the null hypothesis.
The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEO) and the company's stock performance in a recent year. Complete parts (a) through (d) below. (a) One would think that a higher stock return would lead to a higher compensation. Based on this, what would likely be the explanatory variable? A.Stock return B.Compensation (c) Determine the linear correlation coefficient between compensation and stock return. r=____? (Round to three decimal places as needed.)
4. Which of the following is used in model fit comparisons? A. Alkaike Information Criterion test B. The R-squared adjusted C. The Bayesian Information Criterion D. All of the above 5. Dr. Musantu conducted an estimation between y (dependent variable) and x (independent variable) in Stata. He obtained 0.332 coefficient of x and standard error of 0.021. What is the value of the t-statistic? A. 14.809 01392 B. 15.809 C. 16.809 D. None of the above 6. Is the above regressor (in question 8) significant at 5% (which gives 1.96 critical values) level of significance? A. No B. Yes 7. In a log-log regression model, what does the slope coefficient measure? A. The elasticity or percentage change of y with respect to a percentage change in x. B. The change in y which the model predicts for a unit change in x. C. The change in x which the model predicts for a unit change in y. D. 100 multiplied by the ratio y/x. 0.021
20
Five observations taken for two variables follow. xi 4 5 12 4 13 yi 50 50 30 50 20 Compute the sample covariance (to 1 decimal and enter negative value as negative figure). Compute the sample correlation coefficient (to 3 decimals and enter negative value as negative figure)
(b)For which data set is the sample correlation coefficient r equal to -1? CHOOSE ONE: u, v data set w, t data set none of the data sets (m, n data set & x, y data set answer is wrong)
grov in thor 21 2. Given the bivariate data: 1. 3. 6. y 7. 3 1 a. Draw a scatter diagram for the data. Solution: b. Find a, the slope of the least-squares line, and b, the y-intercepts of the least-squares line. Solution: c. Find, to the nearest hundredth, the linear correlation coefficient. Solution:

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