Elementary Statistics Using Excel, Books a la Carte Edition (6th Edition)
Elementary Statistics Using Excel, Books a la Carte Edition (6th Edition)
6th Edition
ISBN: 9780134507538
Author: Mario F. Triola
Publisher: PEARSON
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Question
Chapter 10, Problem 1CQQ
To determine

To conclude: About the linear correlationbetween the numbers of enrolled students and numbers of burglaries.

Expert Solution & Answer
Check Mark

Answer to Problem 1CQQ

There is no sufficient evidence to support the claim that there is a linear correlation between the numbers of enrolled students and numbers of burglaries.

Explanation of Solution

Given info:

The data shows that the numbers of enrolled students (in thousands) and the numbers of burglaries. The correlation value is 0.499, the critical values at 0.05 level of significance for r is ±0.878 and P-value for r is 0.393.

Calculation:

The hypotheses are given below:

Null hypothesis:

H0:ρ=0

That is, there is no linear correlation betweenthe numbers of enrolled students and the numbers of burglaries.

Alternative hypothesis:

H1:ρ0

That is, there is a linear correlation between the numbers of enrolled students and the numbers of burglaries.

Conclusion:

The P-value is 0.393 and the level of significance is 0.05.

Here, the P-value is greater than the level of significance.

Hence, the null hypothesis isnot rejected. That is, there is no linear correlation betweenthe numbers of enrolled students and the numbers of burglaries.

The critical value is ±0.878.

Here, the correlation value is 0.499 which lies between the critical values.

Hence, the null hypothesis isnot rejected.

Thus, there is nosufficient evidence to support the claim that there is a linear correlation betweenthe numbers of enrolled students and the numbers of burglaries.

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Chapter 10 Solutions

Elementary Statistics Using Excel, Books a la Carte Edition (6th Edition)

Ch. 10.1 - Prob. 11BSCCh. 10.1 - Prob. 12BSCCh. 10.1 - Prob. 13BSCCh. 10.1 - Prob. 14BSCCh. 10.1 - Testing for a Linear Correlation. In Exercises...Ch. 10.1 - Prob. 16BSCCh. 10.1 - Prob. 17BSCCh. 10.1 - Prob. 18BSCCh. 10.1 - Prob. 19BSCCh. 10.1 - Prob. 20BSCCh. 10.1 - Prob. 21BSCCh. 10.1 - Testing for a Linear Correlation. In Exercises...Ch. 10.1 - Prob. 23BSCCh. 10.1 - Prob. 24BSCCh. 10.1 - Testing for a Linear Correlation. In Exercises...Ch. 10.1 - Prob. 26BSCCh. 10.1 - Prob. 27BSCCh. 10.1 - Prob. 28BSCCh. 10.1 - Prob. 29BSCCh. 10.1 - Prob. 30BSCCh. 10.1 - Prob. 31BSCCh. 10.1 - Prob. 32BSCCh. 10.1 - Prob. 33BSCCh. 10.1 - Prob. 34BSCCh. 10.1 - Prob. 35BBCh. 10.1 - Prob. 36BBCh. 10.2 - Prob. 1BSCCh. 10.2 - Prob. 2BSCCh. 10.2 - Prob. 3BSCCh. 10.2 - 4. Correlation and Slope What is the relationship...Ch. 10.2 - Prob. 5BSCCh. 10.2 - Prob. 6BSCCh. 10.2 - Making Predictions. In Exercises 5–8, let the...Ch. 10.2 - Making Predictions. In Exercises 5–8, let the...Ch. 10.2 - Finding the Equation of the Regression Line. In...Ch. 10.2 - Prob. 10BSCCh. 10.2 - Prob. 11BSCCh. 10.2 - Prob. 12BSCCh. 10.2 - Regression and Predictions. Exercises 13–28 use...Ch. 10.2 - Prob. 14BSCCh. 10.2 - Prob. 15BSCCh. 10.2 - Prob. 16BSCCh. 10.2 - Prob. 17BSCCh. 10.2 - Prob. 18BSCCh. 10.2 - Prob. 19BSCCh. 10.2 - Regression and Predictions. Exercises 13–28 use...Ch. 10.2 - Prob. 21BSCCh. 10.2 - Prob. 22BSCCh. 10.2 - Regression and Predictions. Exercises 13–28 use...Ch. 10.2 - Prob. 24BSCCh. 10.2 - Prob. 25BSCCh. 10.2 - Prob. 26BSCCh. 10.2 - Prob. 27BSCCh. 10.2 - Prob. 28BSCCh. 10.2 - Prob. 29BSCCh. 10.2 - Prob. 30BSCCh. 10.2 - Prob. 31BSCCh. 10.2 - Prob. 32BSCCh. 10.2 - Prob. 33BSCCh. 10.2 - Prob. 34BSCCh. 10.2 - Prob. 35BBCh. 10.3 - Prob. 1BSCCh. 10.3 - 2. Prediction Interval Using the heights and...Ch. 10.3 - Prob. 3BSCCh. 10.3 - Prob. 4BSCCh. 10.3 - Prob. 5BSCCh. 10.3 - Prob. 6BSCCh. 10.3 - Prob. 7BSCCh. 10.3 - Prob. 8BSCCh. 10.3 - Prob. 9BSCCh. 10.3 - Prob. 10BSCCh. 10.3 - Prob. 11BSCCh. 10.3 - Prob. 12BSCCh. 10.3 - Prob. 13BSCCh. 10.3 - Prob. 14BSCCh. 10.3 - Prob. 15BSCCh. 10.3 - Prob. 16BSCCh. 10.3 - Prob. 17BSCCh. 10.3 - Prob. 18BSCCh. 10.3 - Prob. 19BSCCh. 10.3 - Prob. 20BSCCh. 10.3 - Prob. 21BBCh. 10.4 - Prob. 1BSCCh. 10.4 - 2. Best Multiple Regression Equation For the...Ch. 10.4 - Prob. 3BSCCh. 10.4 - 4. Interpreting R2 For the multiple regression...Ch. 10.4 - Prob. 5BSCCh. 10.4 - Prob. 6BSCCh. 10.4 - Prob. 7BSCCh. 10.4 - Prob. 8BSCCh. 10.4 - Prob. 9BSCCh. 10.4 - Prob. 10BSCCh. 10.4 - Prob. 11BSCCh. 10.4 - Prob. 12BSCCh. 10.4 - Prob. 13BSCCh. 10.4 - Prob. 14BSCCh. 10.4 - Appendix B Data Sets. In Exercises 13 – 16, refer...Ch. 10.4 - Prob. 16BSCCh. 10.4 - Prob. 17BBCh. 10.4 - Prob. 18BBCh. 10.4 - Prob. 19BBCh. 10.5 - 1. Identifying a Model and R2 Different samples...Ch. 10.5 - Prob. 2BSCCh. 10.5 - Prob. 3BSCCh. 10.5 - Prob. 4BSCCh. 10.5 - Prob. 5BSCCh. 10.5 - Prob. 6BSCCh. 10.5 - Prob. 7BSCCh. 10.5 - Prob. 8BSCCh. 10.5 - Prob. 9BSCCh. 10.5 - Finding the Best Model. In Exercises 5–16,...Ch. 10.5 - Prob. 11BSCCh. 10.5 - Prob. 12BSCCh. 10.5 - Prob. 13BSCCh. 10.5 - Prob. 14BSCCh. 10.5 - Prob. 15BSCCh. 10.5 - Prob. 16BSCCh. 10.5 - Prob. 17BBCh. 10.5 - Prob. 18BBCh. 10 - Prob. 1CQQCh. 10 - Prob. 2CQQCh. 10 - Prob. 3CQQCh. 10 - Prob. 4CQQCh. 10 - Prob. 5CQQCh. 10 - Prob. 6CQQCh. 10 - Prob. 7CQQCh. 10 - Prob. 8CQQCh. 10 - Prob. 9CQQCh. 10 - Prob. 10CQQCh. 10 - Prob. 1RECh. 10 - Cigarette Nicotine and Carbon Monoxide Refer to...Ch. 10 - Prob. 3RECh. 10 - Prob. 4RECh. 10 - Prob. 1CRECh. 10 - Prob. 2CRECh. 10 - Prob. 3CRECh. 10 - Prob. 4CRECh. 10 - Prob. 5CRECh. 10 - Prob. 6CRECh. 10 - Prob. 7CRECh. 10 - Prob. 8CRECh. 10 - Prob. 1EPCh. 10 - Prob. 2EPCh. 10 - Prob. 3EPCh. 10 - Prob. 4EPCh. 10 - Prob. 5EPCh. 10 - Prob. 6EPCh. 10 - Prob. 1FDDCh. 10 - Prob. 2FDDCh. 10 - Prob. 3FDDCh. 10 - Prob. 4FDDCh. 10 - Prob. 5FDD
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