The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as the subway fare. Us the pizza and subway cost data in the table below to determine whether there is a linear correlation between these two items. 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. Based on these results, does it appear that the subway fare is always about the same as a slice of pizza? Use a significance level of α = 0.05. Click here for data on pizza costs and subway fares over the years. The linear correlation coefficient is r= 0.986. (Round to three decimal places as needed.) Determine the null and alternative hypotheses. ... Ho: p = H₁:p #0 (Type integers or decimals. Do not round.) Determine the test statistic. The test statistic is t= 16.73. (Round to two decimal places as needed.) Determine the P-value. 0 The P-value is (Round to three decimal places as needed.)
The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as the subway fare. Us the pizza and subway cost data in the table below to determine whether there is a linear correlation between these two items. 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. Based on these results, does it appear that the subway fare is always about the same as a slice of pizza? Use a significance level of α = 0.05. Click here for data on pizza costs and subway fares over the years. The linear correlation coefficient is r= 0.986. (Round to three decimal places as needed.) Determine the null and alternative hypotheses. ... Ho: p = H₁:p #0 (Type integers or decimals. Do not round.) Determine the test statistic. The test statistic is t= 16.73. (Round to two decimal places as needed.) Determine the P-value. 0 The P-value is (Round to three decimal places as needed.)
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![The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as the subway fare. Use
the pizza and subway cost data in the table below to determine whether there is a linear correlation between these two
items. 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. Based on these
results, does it appear that the subway fare is always about the same as a slice of pizza? Use a significance level of
α = 0.05.
Click here for data on pizza costs and subway fares over the years.
The linear correlation coefficient is r= 0.986.
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
...
Ho: p = 0
H₁:p #
0
(Type integers or decimals. Do not round.)
Determine the test statistic.
The test statistic is t= 16.73. (Round to two decimal places as needed.)
Determine the P-value.
The P-value is. (Round to three decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb8791599-cb6a-4fa9-9f99-a1a2c63a3cfe%2F5cf21fdb-0953-456a-8a78-8a73006053a4%2F59zc0e7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The 'pizza connection' is the principle that the price of a slice of pizza is always about the same as the subway fare. Use
the pizza and subway cost data in the table below to determine whether there is a linear correlation between these two
items. 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. Based on these
results, does it appear that the subway fare is always about the same as a slice of pizza? Use a significance level of
α = 0.05.
Click here for data on pizza costs and subway fares over the years.
The linear correlation coefficient is r= 0.986.
(Round to three decimal places as needed.)
Determine the null and alternative hypotheses.
...
Ho: p = 0
H₁:p #
0
(Type integers or decimals. Do not round.)
Determine the test statistic.
The test statistic is t= 16.73. (Round to two decimal places as needed.)
Determine the P-value.
The P-value is. (Round to three decimal places as needed.)
![items. Construct a scatterplot, find the value of the linear correlation coefficie
r, and
whether there is sufficient evidence to support a claim of linear correlation between th
results does it annear that the subway fare is always about the same as a slice of piz
Pizza Cost and Subway Fares
Year
Pizza Cost
Subway Fare
CPI
1960 1973 1986 1995 2002 2003 2009 2013 2015
2019
1.25 1.75 2.00
3.00
0.15 0.35 1.00
0.20
2.25 2.30 2.75
2.25 2.45 2.80 2.70
0.30 1.05 1.40
29 44.4 109.6 152.2 180.0 184.0 214.5 233.0 237.0 252.2
2.00
1.45
Print
The P-value is
Done
The test statistic is t= 16.73. (Round to two decimal places as needed.)
Determine the P-value.
(Round to three decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb8791599-cb6a-4fa9-9f99-a1a2c63a3cfe%2F5cf21fdb-0953-456a-8a78-8a73006053a4%2F3px1uac_processed.jpeg&w=3840&q=75)
Transcribed Image Text:items. Construct a scatterplot, find the value of the linear correlation coefficie
r, and
whether there is sufficient evidence to support a claim of linear correlation between th
results does it annear that the subway fare is always about the same as a slice of piz
Pizza Cost and Subway Fares
Year
Pizza Cost
Subway Fare
CPI
1960 1973 1986 1995 2002 2003 2009 2013 2015
2019
1.25 1.75 2.00
3.00
0.15 0.35 1.00
0.20
2.25 2.30 2.75
2.25 2.45 2.80 2.70
0.30 1.05 1.40
29 44.4 109.6 152.2 180.0 184.0 214.5 233.0 237.0 252.2
2.00
1.45
Print
The P-value is
Done
The test statistic is t= 16.73. (Round to two decimal places as needed.)
Determine the P-value.
(Round to three decimal places as needed.)
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