Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using
alpha
equals0.05
Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines?
Court_Income Justice_Salary
65.0 30
402.0 43
1568.0 93
1131.0 58
273.0 46
254.0 62
111.0 26
154.0 27
30.0 17
What are the null and alternative hypotheses?
65 | 30 |
402 | 43 |
1568 | 93 |
1131 | 58 |
273 | 46 |
254 | 62 |
111 | 26 |
154 | 27 |
30 | 17 |
The Scatterplot using Excel is
The Value of linear correlation coefficient using Excel Command is, "=correl(x,y)"
where x is "Court Income" And y is "Justice Salary"
We get, r=correlation= 0.8703
The Null Hypothesis is
H0: There is no correlation between court incomes and justice salaries
Versus
Ha: There is correlation between court incomes and justice salaries
So therefore the p value corresponding to r=0.8703 using Pearsons table is 0.024
p-value=0.024
Here, a=level of significance = 0.05 - Given
so therefore, p-value<a
so therefore we fail to accept H0.
Conclusion: There is Sufficient evidence to conclude that there is linear correlation between court incomes and justice salaries.
That is, It Appear that Justice might profit by levying larger fines.
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