Question

Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of...

Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using

alpha

equals0.05.

Budget_(x)   Gross_(y)
61   66
88   69
53   51
40   56
203   598
101   141
85   48

Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross receipts? Do the results change if the actual budgets listed are

$61 comma 000 comma 000

,

$88 comma 000 comma 000

,

$53 comma 000 comma 000

,

and so on?

What are the null and alternative hypotheses?

Construct a scatterplot. Choose the correct graph below.

The linear correlation coefficient r is

(Round to three decimal places as needed.)

The test statistic t is

(Round to two decimal places as needed.)

The P-value is

(Round to three decimal places as needed.)

Because the P-value is

greater

less

then the significance level

0.05

,

there

is

is not

sufficient evidence to support the claim that there is a linear correlation between budgets and gross receipts for a significance level of

alpha

equals0.05

.

Do the results change if the actual budgets listed are

$61 comma 000 comma 000

,

$88 comma 000 comma 000

,

$53 comma 000 comma 000

,

and so on?

A.

No, the results do not change because it would result in a different linear correlation coefficient.

B.

Yes, the results would need to be multiplied by 1,000,000.

C.

Yes, the results would change because it would result in a different linear correlation coefficient.

D.

No, the results do not change because it would result in the same linear correlation coefficient.

ASAP

0 0
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Answer #1

a) Scatter Plot

700 600 500 400 300 200 100 0 0 50 100 150 200 250

b) Correlation Coefficient

The Correlation Coefficient is r = 0.947

c) Hypothesis Testing

Null Hypothesis H0: \rho =0

ALternative Hypothesis H1: \rho \neq 0

Under H0, the test statistic is

t = \frac{r\sqrt{n-2}}{\sqrt{1-r^2}} =\frac{0.9465\sqrt{5}}{\sqrt{1-0.9465^2}}=6.56

Degrees of Freedom = n-2 = 5

Significance Level \alpha = 0.05

The p value is 0.001

Answer: Because the P-value is less then the significance level 0.05 there is sufficient evidence to support the claim that there is a linear correlation between budgets and gross receipts for a significance level of \alpha = 0.05

d) Answer: D. No, the results do not change because it would result in the same linear correlation coefficient.

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