What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 11 5 7 1| 2| 1 7| 4 Score 82 68 70 63 62 54 78 | 69 x-values y-values a Find the correlation coefficient: r = b. The null and attenative hypotheses for correlation arer Ho: ?v Round to 2 decimal places. o-The p-value is: (Round to four decimal places) d. Use a level of significance of a= of the study. Select an answer 0.05 to state the conclusion of the hypothesis test in the context e. r2 (Round to two decimal places) f. Interpret r: Select an answer

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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**Exploring the Relationship Between Study Time and Exam Scores**

This study examines the relationship between the amount of time statistics students study per week and their final exam scores. The survey results shown below provide insights into this relationship.

**Data:**

- **Time (hours per week):** 11, 5, 7, 1, 2, 1, 7, 4, 4
- **Score (exam score):** 82, 68, 70, 63, 62, 54, 78, 69

**Instructions:**

a. **Find the Correlation Coefficient:** 
   - \( r = \) _____ (Round to 2 decimal places)

b. **The Null and Alternative Hypotheses for Correlation Are:**
   - \( H_0: \rho = 0 \)
   - \( H_1: \rho \neq 0 \)

c. **The p-value Is:** 
   - _____ (Round to four decimal places)

d. **Hypothesis Test Conclusion:** 
   - Use a level of significance of \( \alpha = 0.05 \) to state the conclusion of the hypothesis test in the context of the study.
   - [Select an answer]

e. **\( r^2 = \):** 
   - _____ (Round to two decimal places)

f. **Interpret \( r^2 \):** 
   - [Select an answer]

g. **Equation of the Linear Regression Line:**
   - \( \hat{y} = \) _____ + _____\( x \)
   - (Please show your answers to two decimal places)

h. **Predict Exam Score for 7 Hours of Study:** 
   - Use the model to predict the final exam score for a student who spends 7 hours per week studying.
   - Final exam score = _____ (Please round your answer to the nearest whole number)

i. **Interpret the Slope:** 
   - [Select an answer]

j. **Interpret the y-intercept:** 
   - [Select an answer]

This exercise is designed to help understand how statistical tools can be used to analyze real-world data and interpret the results in a meaningful way.
Transcribed Image Text:**Exploring the Relationship Between Study Time and Exam Scores** This study examines the relationship between the amount of time statistics students study per week and their final exam scores. The survey results shown below provide insights into this relationship. **Data:** - **Time (hours per week):** 11, 5, 7, 1, 2, 1, 7, 4, 4 - **Score (exam score):** 82, 68, 70, 63, 62, 54, 78, 69 **Instructions:** a. **Find the Correlation Coefficient:** - \( r = \) _____ (Round to 2 decimal places) b. **The Null and Alternative Hypotheses for Correlation Are:** - \( H_0: \rho = 0 \) - \( H_1: \rho \neq 0 \) c. **The p-value Is:** - _____ (Round to four decimal places) d. **Hypothesis Test Conclusion:** - Use a level of significance of \( \alpha = 0.05 \) to state the conclusion of the hypothesis test in the context of the study. - [Select an answer] e. **\( r^2 = \):** - _____ (Round to two decimal places) f. **Interpret \( r^2 \):** - [Select an answer] g. **Equation of the Linear Regression Line:** - \( \hat{y} = \) _____ + _____\( x \) - (Please show your answers to two decimal places) h. **Predict Exam Score for 7 Hours of Study:** - Use the model to predict the final exam score for a student who spends 7 hours per week studying. - Final exam score = _____ (Please round your answer to the nearest whole number) i. **Interpret the Slope:** - [Select an answer] j. **Interpret the y-intercept:** - [Select an answer] This exercise is designed to help understand how statistical tools can be used to analyze real-world data and interpret the results in a meaningful way.
Expert Solution
Step 1

We have given that, 

Sample size (n) = 8 and significance level (alpha) = 0.05

 

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