Psychologists also examined the relationship between depression and the number of days of work missed by 12 depressed clients. The researchers obtained the following scores: Depression (depress): 44, 47, 39, 43, 45, 57, 56, 48, 52, 48, 44, 48 Days of work missed (days): 19, 10, 14, 17, 18, 25, 21, 19, 17, 14, 10, 18 Using SPSS (a) determine the linear prediction rule for predicting missed work days from depression and (b) draw the regression line. (c) Use the linear prediction rule to determine the predicted missed work days of clients who have depression scores of 39, 45, 52, and 57. (d) Record the standardized regression coefficient.

Psychologists also examined the relationship between depression and the number of days of work missed by 12 depressed clients. The researchers obtained the following scores: Depression (depress): 44, 47, 39, 43, 45, 57, 56, 48, 52, 48, 44, 48 Days of work missed (days): 19, 10, 14, 17, 18, 25, 21, 19, 17, 14, 10, 18 Using SPSS (a) determine the linear prediction rule for predicting missed work days from depression and (b) draw the regression line. (c) Use the linear prediction rule to determine the predicted missed work days of clients who have depression scores of 39, 45, 52, and 57. (d) Record the standardized regression coefficient.

Name: Psyc 10 Laboratory Assignment 7 - Chapt 11 & 12(Be sure to receive yo
Uploaded: 2024-03-20T07:06:16.000Z
Channel: Bartleby
Description: Psyc 10 Laboratory Assignment 7 - Chapt 11 & 12(Be sure to receive your stamp prior to closing out data, syntax, or output windows)SPSS Application #4stampPsychologists also examined the relationship between depression and the number of days ofwork

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A researcher was curious whether psychology majors earned a different amount of money after college compared to business majors. The mean salary for business majors 5 years after graduation is 55,000. She asked 22 recent psychology graduates their salaries and found that M=48,000 and s=12,000. Test the hypothesis that psychology majors make a different amount of money than business majors. Use a significance level of 0.05.
Management of a theater in a large city wants to know whether its popularity increased after it ran a popular musical. According to a previous study, 25% of city residents said they had been to the theater in the past year. A more recent study, conducted after the musical had run for a year, found that 156 of 536 residents sampled said they had been to the theater in the past year. Is there evidence at the ? = 0.05 level that the number of residents who have been to the theater has increased in the last year?
Suppose that Kim is a participant in a study that compares several coaching methods to see how they affect math Scholar Aptitude Test (SAT) scores. The grand mean of math SAT scores for all participants (My) in the study is 550. The group that Kim participated in had a mean math SAT score of 565. Kim’s individual score on the math SAT was 610. What was the estimate residual component (of Kim’s score, that is, the part of Kim’s score that was not related to the coaching method? (Both parts of this question call for specific numerical values as answers). What was that “effect” (ai) component of Kim's score? What pattern in grouped data would make SSwithin = 0? What pattern within data would make SSbetween = 0?
A researcher wanted to find the effect of a special diet on systolic blood pressure. She selected a sample of seven adults and put them on this dietary plan for 3 months. The following table gives the systolic blood pressures (in mm Hg) of these seven adults before and after the com- pletion of this plan. Before After 210 193 180 186 195 186 220 223 231 220 199 183 224 233 Let u be the mean reduction in the systolic blood pressures due to this special dietary plan for the population of all adults. Construct a 95% confidence interval for ud. Assume that the population of paired differences is (approximately) normally distributed.
The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…
A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. What is the central tendency for the variable perseverance among teenage girls? What is the most common value for the variable perseverance among teenage girls? How spread out are the values for perseverance amoung teenage girls? Do all teenage girls have the same amount of perseverance?
In the table are the grade distributions of boys who have and have not played video games (a) At the 5% significance level is there sufficient evidence that gaming and grades are dependent (or associated)? (b) Association does not prove causation. Explain why you can’t conclude from this study that playingvideo games improves grades for boys.
At a local food processing plant, it used to take an average of 90 minutes for new workers to learn a food processing job. Recently the company installed a new food processing machine. The supervisor at the company wants to find if the mean time taken by new workers to learn the food processing procedure on this new machine is different from 90 minutes. A sample of 20 workers showed that it took, on average, 85 minutes for them to learn the food processing procedure on the new machine. It is known that the learning times for all new workers are normally distributed with a population standard deviation of 7 minutes. Use a significance level of 0.01 to test the claim that the mean time is different from 90 minutes. What is the decision? A) Reject Ho because the test statistic is in the critical region and the p-value is greater than the significance level. B) Reject Ho because the test statistic is not in the critical region and the p-value is greater than the significance level.…
At a local food processing plant, it used to take an average of 90 minutes for new workers to learn a food processing job. Recently the company installed a new food processing machine. The supervisor at the company wants to find if the mean time taken by new workers to learn the food processing procedure on this new machine is different from 90 minutes. A sample of 20 workers showed that it took, on average, 85 minutes for them to learn the food processing procedure on the new machine. It is known that the learning times for all new workers are normally distributed with a population standard deviation of 7 minutes. Use a significance level of 0.01 to test the claim that the mean time is different from 90 minutes. What is the test statistic? A) -7.01 B) -2.539 C) -3.19 D) -2.528 E) -1.96