x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4 y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72 Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho:P Ha:p #v 0 (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution v with 12 v degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P(E %3D P(r Sv %3D
x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4 y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72 Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a significant linear correlation between the number of classes a student misses and their score on the final exam. Step 1: State the null and alternative hypotheses. Ho:P Ha:p #v 0 (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution v with 12 v degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. P(E %3D P(r Sv %3D
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 14PPS
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Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text:8.
65
4
72
x: 7,7, 6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4
y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72
Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a
significant linear correlation between the number of classes a student misses and their score on the
final exam.
Step 1: State the null and alternative hypotheses.
Ho:P
Ha:P
(So we will be performing a two-tailed
V test.)
Part 2 of 4
Step 2: Determine the features of the distribution used to test the significance of the
correlation coefficient.
To test the significance of the correlation coefficient, we will use a t-distribution
with
12
v degrees of freedom.
Part 3 of 4
Step 3: Find the p-value of the point estimate.
P(r sY
P(t v
%3D
mavalue
O 0076
Transcribed Image Text:Part 1 of 4
Can we infer a students score on their final exam based on how many class meetings they missed?
The table below gives this information for 14 students. (Comma separated lists of the data are also
provided below the table to ease in copying the data to R.)
Number of Missed Classes (x)
Percent Score on Final Exam (y)
7
69
71
73
8
64
11
62
5
73
5
62
69
7
68
3
74
4
75
78
8
65
4
72
x: 7,7,6, 8, 11, 5, 5, 5, 7, 3, 4, 5, 8, 4
y: 69, 71, 73, 64, 62, 73, 62, 69, 68, 74, 75, 78, 65, 72
Conduct a hypothesis test with a 7% level of significance to determine whether or not there is a
significant linear correlation between the number of classes a student misses and their score on the
final exam.
Step 1: State the null and alternative hypotheses.
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