Listed below are annual data for various years. The data are the numbers of cars sold (thousands) and the numbers of points scored in the Super Bowl. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between those two variables? Would it be reasonable to expect a correlation? Car Sales 8170 8220 8510 9000 Super Bowl Points 61 70 42 76 45 8640 8526 8273 8144 55 55 53 What are the null and alternative hypotheses? OA. Ho: p=0 H₁: p>0 OC. Ho p=0 H₁: p<0 Construct a scatterplot. Choose the correct graph below. OA. 100- OB. 100- Super Bowl Points 0 8000 Car Sales 9000 The linear correlation coefficient is r= 0.193 (Round to three decimal places as needed.) The test statistic is t= ☐ (Round to two decimal places as needed.) 50- OB. Ho: p#0 H₁: p=0 D. Ho: p=0 H₁: p0 100- 50- Q 100- 0+ 8000 0+ 9000 8000 9000 8000 9000 Car Sales Car Sales Car Sales

MATLAB: An Introduction with Applications
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Listed below are annual data for various years. The data are the numbers of cars sold (thousands) and the numbers of points scored in the Super Bowl. Construct a scatterplot, find the value of the
linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between those two variables? Would it be reasonable to
expect a correlation?
Car Sales
8170 8220 8510 9000
Super Bowl Points 61 70 42 76
45
8640 8526 8273 8144
55 55
53
What are the null and alternative hypotheses?
OA. Ho: p=0
H₁: p>0
OC. Ho p=0
H₁: p<0
Construct a scatterplot. Choose the correct graph below.
OA.
100-
OB.
100-
Super Bowl Points
0
8000
Car Sales
9000
The linear correlation coefficient is r= 0.193
(Round to three decimal places as needed.)
The test statistic is t=
☐
(Round to two decimal places as needed.)
50-
OB. Ho: p#0
H₁: p=0
D. Ho: p=0
H₁: p0
100-
50-
Q
100-
0+
8000
0+
9000
8000
9000
8000
9000
Car Sales
Car Sales
Car Sales
Transcribed Image Text:Listed below are annual data for various years. The data are the numbers of cars sold (thousands) and the numbers of points scored in the Super Bowl. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between those two variables? Would it be reasonable to expect a correlation? Car Sales 8170 8220 8510 9000 Super Bowl Points 61 70 42 76 45 8640 8526 8273 8144 55 55 53 What are the null and alternative hypotheses? OA. Ho: p=0 H₁: p>0 OC. Ho p=0 H₁: p<0 Construct a scatterplot. Choose the correct graph below. OA. 100- OB. 100- Super Bowl Points 0 8000 Car Sales 9000 The linear correlation coefficient is r= 0.193 (Round to three decimal places as needed.) The test statistic is t= ☐ (Round to two decimal places as needed.) 50- OB. Ho: p#0 H₁: p=0 D. Ho: p=0 H₁: p0 100- 50- Q 100- 0+ 8000 0+ 9000 8000 9000 8000 9000 Car Sales Car Sales Car Sales
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