The paired data below consists of test scores and hours of preparation for 5 randomly selected students. X = HOURS 5 2 9 6 10 Y = GRADE 64 48 72 73 80 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. The value of n The sum of the x-values The sum of the y-values The sum of the x-squared values The sum of the y-squared values The sum of the (xy) values The final value of r rounded top three decimal places 2. Using a 0.05 level of significance, test the claim that there is a linear correlation between x and y. State each of the following: Ho and H1 The value of r, the test statistic from part 1 above The critical value Your decision to reject Ho or accept Ho
The paired data below consists of test scores and hours of preparation for 5 randomly selected students. X = HOURS 5 2 9 6 10 Y = GRADE 64 48 72 73 80 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. The value of n The sum of the x-values The sum of the y-values The sum of the x-squared values The sum of the y-squared values The sum of the (xy) values The final value of r rounded top three decimal places 2. Using a 0.05 level of significance, test the claim that there is a linear correlation between x and y. State each of the following: Ho and H1 The value of r, the test statistic from part 1 above The critical value Your decision to reject Ho or accept Ho
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 paired data below consists of test scores and hours of preparation for 5 randomly selected students.
|
X = HOURS |
5 |
2 |
9 |
6 |
10 |
|
Y = GRADE |
64 |
48 |
72 |
73 |
80 |
1. Calculate r, the linear
The value of n
The sum of the x-values
The sum of the y-values
The sum of the x-squared values
The sum of the y-squared values
The sum of the (xy) values
The final value of r rounded top three decimal places
2. Using a 0.05 level of significance, test the claim that there is a linear correlation between x and y. State each of the following:
Ho and H1
The value of r, the test statistic from part 1 above
The critical value
Your decision to reject Ho or accept Ho
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