B. Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? 30.87 50.30 92.17 94.28 63.84 105.63 Bill (dollars) Tip (dollars) 5.90 7.08 14.83 18.07 7.93 20.08 Construct a scatterplot. Choose the correct graph below. OA. O B. C. O D. 25- 25- 25- 25- 120 120 30 Bill Amount ($) 120 30 120 30 30 Bill Amount ($) Bill Amount ($) Bill Amount ($) The linear correlation coefficient is r = (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho:p(1)– H1:p(2) – (Type integers or decimals. Do not round.) The test statistic is t = (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is (3) the significance level, there (4) – sufficient evidence to support the claim that there is a linear correlation between bill amounts and tip amounts.

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B. Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value
of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a
claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the
same percentage, what should be the value of r?
30.87
50.30
92.17
94.28
63.84
105.63
Bill (dollars)
Tip (dollars)
5.90
7.08
14.83
18.07
7.93
20.08
Construct a scatterplot. Choose the correct graph below.
OA.
O B.
C.
O D.
25-
25-
25-
25-
120
120
30
Bill Amount ($)
120
30
120
30
30
Bill Amount ($)
Bill Amount ($)
Bill Amount ($)
The linear correlation coefficient is r =
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
Ho:p(1)–
H1:p(2) –
(Type integers or decimals. Do not round.)
The test statistic is t =
(Round to two decimal places as needed.)
The P-value is
(Round to three decimal places as needed.)
Because the P-value of the linear correlation coefficient is (3)
the significance level, there
(4) –
sufficient evidence to support the claim that there is a linear correlation between bill amounts and tip
amounts.
Transcribed Image Text:B. Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. If everyone were to tip with the same percentage, what should be the value of r? 30.87 50.30 92.17 94.28 63.84 105.63 Bill (dollars) Tip (dollars) 5.90 7.08 14.83 18.07 7.93 20.08 Construct a scatterplot. Choose the correct graph below. OA. O B. C. O D. 25- 25- 25- 25- 120 120 30 Bill Amount ($) 120 30 120 30 30 Bill Amount ($) Bill Amount ($) Bill Amount ($) The linear correlation coefficient is r = (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho:p(1)– H1:p(2) – (Type integers or decimals. Do not round.) The test statistic is t = (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is (3) the significance level, there (4) – sufficient evidence to support the claim that there is a linear correlation between bill amounts and tip amounts.
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