Question

# Listed below are amounts of court income and salaries paid to the town justices. All amounts...

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 alphaα=0.05. 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 65 406 1567 1132 272 253 111 156 33 Justice Salary 30 42 91 57 47 62 26 27 17

1) What are the null and alternative​ hypotheses?

A) H0: p=0 , H1: p < 0

B) H0: p=0 , H1: p > 0

C) H0: p=0 , H1: p =/ 0

D) H0: p=/ 0 , H1: p=0

2) Construct a scatterplot.

3) The linear correlation coefficient r is

4) The test statistic t is

5) The​ P-value is

6) Based on the​ results, does it appear that justices might profit by levying larger​ fines?

A) It does appear that justices my profit by issuing smaller fines.

B) it does appear that justices is my profit by levying larger fines.

C) it appears that justices profit the same despite the amount of the fines.

D) it does not appear that justices might profit by levying larger fines.

X :- Court Income

Y :- Justice Salary

ΣX = 3995
ΣY = 399
ΣX * Y = 262252
ΣX2 = 4081713
ΣY2 = 21941

Part 1)

To Test :-
H0 :- ρ = 0
H1 :- ρ ≠ 0

Part 2) part 3)  r = 0.859

Part 4)

Test Statistic :-
t = (r * √(n - 2) / (√(1 - r2))
t = ( 0.8594 * √(9 - 2) ) / (√(1 - 0.7386) )
t = 4.4473

Part 5)

P - value = P ( t > 4.4473 ) = 0.003

Reject null hypothesis if P value < α = 0.05 level of significance
P - value = 0.003 < 0.05 ,hence we reject null hypothesis
Conclusion :- There is statistical correlation between variables

B) it does appear that justices is might profit by levying larger fines.

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