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listed below are annual data for various years. the data are the number…

Question

listed below are annual data for various years. the data are the numbers of points scored in the super bowl. construct a scatterplot, find the value of the p - value using α = 0.05. is there sufficient evidence to conclude that the two variables? would it be reasonable to expect a correlation?
car sales: 8179, 8218, 8518, 8992, 8636, 8535, 8275
super bowl points: 52, 70, 43, 74, 43, 57, 56
the linear correlation coefficient is r =
(round to three decimal places as needed.)

Explanation:

Step1: Identify Variables

Let \( x \) be Car Sales (values: 8179, 8218, 8518, 8992, 8636, 8535, 8275) and \( y \) be Super Bowl Points (values: 52, 70, 43, 74, 43, 57, 56).

Step2: Calculate Necessary Sums

  • \( \sum x = 8179 + 8218 + 8518 + 8992 + 8636 + 8535 + 8275 = 59353 \)
  • \( \sum y = 52 + 70 + 43 + 74 + 43 + 57 + 56 = 395 \)
  • \( \sum xy = (8179×52)+(8218×70)+(8518×43)+(8992×74)+(8636×43)+(8535×57)+(8275×56) \)

\( = 425308 + 575260 + 366274 + 665408 + 371348 + 486495 + 463400 = 3353493 \)

  • \( \sum x^2 = 8179^2 + 8218^2 + 8518^2 + 8992^2 + 8636^2 + 8535^2 + 8275^2 \)

\( = 66896041 + 67535524 + 72556324 + 80856064 + 74580496 + 72846225 + 68475625 = 491746299 \)

  • \( \sum y^2 = 52^2 + 70^2 + 43^2 + 74^2 + 43^2 + 57^2 + 56^2 \)

\( = 2704 + 4900 + 1849 + 5476 + 1849 + 3249 + 3136 = 23163 \)

Step3: Apply Correlation Formula

The formula for the linear correlation coefficient \( r \) is:

$$ r = \frac{n\sum xy - \sum x \sum y}{\sqrt{[n\sum x^2 - (\sum x)^2][n\sum y^2 - (\sum y)^2]}} $$

where \( n = 7 \).

  • Numerator: \( 7×3353493 - 59353×395 = 23474451 - 23444435 = 30016 \)
  • Denominator part 1: \( 7×491746299 - 59353^2 = 3442224093 - 3522788609 = -80564516 \) (Wait, no, recalculate \( 59353^2 \): \( 59353×59353 = 3522788609 \), \( 7×491746299 = 3442224093 \). Wait, that can't be. Wait, I must have miscalculated \( \sum x \). Wait, 8179 + 8218 = 16397; +8518=24915; +8992=33907; +8636=42543; +8535=51078; +8275=59353. Correct. Wait, \( 7×491746299 = 3442224093 \), \( 3442224093 - 3522788609 = -80564516 \). Denominator part 2: \( 7×23163 - 395^2 = 162141 - 156025 = 6116 \)
  • Denominator: \( \sqrt{|-80564516|×6116} = \sqrt{80564516×6116} \). Wait, no, I must have messed up \( \sum x^2 \). Let's recalculate \( \sum x^2 \):
  • \( 8179^2 = 8179×8179 = 66896041 \)
  • \( 8218^2 = 67535524 \)
  • \( 8518^2 = 72556324 \)
  • \( 8992^2 = 80856064 \)
  • \( 8636^2 = 74580496 \)
  • \( 8535^2 = 72846225 \)
  • \( 8275^2 = 68475625 \)

Sum: 66896041 + 67535524 = 134431565; +72556324=206987889; +80856064=287843953; +74580496=362424449; +72846225=435270674; +68475625=503746299. Ah! I had a typo earlier, \( \sum x^2 = 503746299 \), not 491746299. So \( 7×503746299 = 3526224093 \)
Now denominator part 1: \( 3526224093 - 59353^2 = 3526224093 - 3522788609 = 3435484 \)
Denominator part 2: \( 7×23163 - 395^2 = 162141 - 156025 = 6116 \)
Denominator: \( \sqrt{3435484×6116} = \sqrt{3435484×6116} \). Calculate \( 3435484×6116 \): Let's factor 3435484 = 4×858871, 6116=4×1529. So \( \sqrt{16×858871×1529} = 4\sqrt{858871×1529} \). But better to use calculator steps. Alternatively, use the formula correctly.

Wait, let's use a better approach. Let's compute \( \bar{x} = \frac{59353}{7} ≈ 8479 \), \( \bar{y} = \frac{395}{7} ≈ 56.4286 \)

\( \sum (x - \bar{x})(y - \bar{y}) = \sum xy - n\bar{x}\bar{y} = 3353493 - 7×8479×56.4286 \)

Calculate \( 7×8479 = 59353 \), \( 59353×56.4286 ≈ 59353×56 + 59353×0.4286 ≈ 3323768 + 25440 ≈ 3349208 \)

So \( \sum (x - \bar{x})(y - \bar{y}) ≈ 3353493 - 3349208 = 4285 \)

\( \sum (x - \bar{x})^2 = \sum x^2 - n\bar{x}^2 = 503746299 - 7×(8479)^2 \)

\( 8479^2 = 71893441 \), \( 7×71893441 = 503254087 \)

\( \sum (x - \bar{x})^2 = 503746299 - 503254087 = 492212 \)

\( \sum (y - \bar{y})^2 = \sum y^2 - n\bar{y}^2 = 23163 - 7×(56.4286)^2 \)

\( 56.4286^2 ≈ 3184.14 \), \( 7×3184.14 ≈ 22288.98 \)

\( \sum (y - \bar{y})^2 ≈ 23163 - 22288.98 = 874.02 \)

Now, \( r = \frac{\sum (x - \bar{x})(y - \bar{y})}{\sqrt{\sum (x - \bar{x})^2 \sum (y - \bar{y})^2}} = \frac{4285}{\sqrt{492212×874.02}} \)

Calculate denominator: \( \…

Answer:

Step1: Identify Variables

Let \( x \) be Car Sales (values: 8179, 8218, 8518, 8992, 8636, 8535, 8275) and \( y \) be Super Bowl Points (values: 52, 70, 43, 74, 43, 57, 56).

Step2: Calculate Necessary Sums

  • \( \sum x = 8179 + 8218 + 8518 + 8992 + 8636 + 8535 + 8275 = 59353 \)
  • \( \sum y = 52 + 70 + 43 + 74 + 43 + 57 + 56 = 395 \)
  • \( \sum xy = (8179×52)+(8218×70)+(8518×43)+(8992×74)+(8636×43)+(8535×57)+(8275×56) \)

\( = 425308 + 575260 + 366274 + 665408 + 371348 + 486495 + 463400 = 3353493 \)

  • \( \sum x^2 = 8179^2 + 8218^2 + 8518^2 + 8992^2 + 8636^2 + 8535^2 + 8275^2 \)

\( = 66896041 + 67535524 + 72556324 + 80856064 + 74580496 + 72846225 + 68475625 = 491746299 \)

  • \( \sum y^2 = 52^2 + 70^2 + 43^2 + 74^2 + 43^2 + 57^2 + 56^2 \)

\( = 2704 + 4900 + 1849 + 5476 + 1849 + 3249 + 3136 = 23163 \)

Step3: Apply Correlation Formula

The formula for the linear correlation coefficient \( r \) is:

$$ r = \frac{n\sum xy - \sum x \sum y}{\sqrt{[n\sum x^2 - (\sum x)^2][n\sum y^2 - (\sum y)^2]}} $$

where \( n = 7 \).

  • Numerator: \( 7×3353493 - 59353×395 = 23474451 - 23444435 = 30016 \)
  • Denominator part 1: \( 7×491746299 - 59353^2 = 3442224093 - 3522788609 = -80564516 \) (Wait, no, recalculate \( 59353^2 \): \( 59353×59353 = 3522788609 \), \( 7×491746299 = 3442224093 \). Wait, that can't be. Wait, I must have miscalculated \( \sum x \). Wait, 8179 + 8218 = 16397; +8518=24915; +8992=33907; +8636=42543; +8535=51078; +8275=59353. Correct. Wait, \( 7×491746299 = 3442224093 \), \( 3442224093 - 3522788609 = -80564516 \). Denominator part 2: \( 7×23163 - 395^2 = 162141 - 156025 = 6116 \)
  • Denominator: \( \sqrt{|-80564516|×6116} = \sqrt{80564516×6116} \). Wait, no, I must have messed up \( \sum x^2 \). Let's recalculate \( \sum x^2 \):
  • \( 8179^2 = 8179×8179 = 66896041 \)
  • \( 8218^2 = 67535524 \)
  • \( 8518^2 = 72556324 \)
  • \( 8992^2 = 80856064 \)
  • \( 8636^2 = 74580496 \)
  • \( 8535^2 = 72846225 \)
  • \( 8275^2 = 68475625 \)

Sum: 66896041 + 67535524 = 134431565; +72556324=206987889; +80856064=287843953; +74580496=362424449; +72846225=435270674; +68475625=503746299. Ah! I had a typo earlier, \( \sum x^2 = 503746299 \), not 491746299. So \( 7×503746299 = 3526224093 \)
Now denominator part 1: \( 3526224093 - 59353^2 = 3526224093 - 3522788609 = 3435484 \)
Denominator part 2: \( 7×23163 - 395^2 = 162141 - 156025 = 6116 \)
Denominator: \( \sqrt{3435484×6116} = \sqrt{3435484×6116} \). Calculate \( 3435484×6116 \): Let's factor 3435484 = 4×858871, 6116=4×1529. So \( \sqrt{16×858871×1529} = 4\sqrt{858871×1529} \). But better to use calculator steps. Alternatively, use the formula correctly.

Wait, let's use a better approach. Let's compute \( \bar{x} = \frac{59353}{7} ≈ 8479 \), \( \bar{y} = \frac{395}{7} ≈ 56.4286 \)

\( \sum (x - \bar{x})(y - \bar{y}) = \sum xy - n\bar{x}\bar{y} = 3353493 - 7×8479×56.4286 \)

Calculate \( 7×8479 = 59353 \), \( 59353×56.4286 ≈ 59353×56 + 59353×0.4286 ≈ 3323768 + 25440 ≈ 3349208 \)

So \( \sum (x - \bar{x})(y - \bar{y}) ≈ 3353493 - 3349208 = 4285 \)

\( \sum (x - \bar{x})^2 = \sum x^2 - n\bar{x}^2 = 503746299 - 7×(8479)^2 \)

\( 8479^2 = 71893441 \), \( 7×71893441 = 503254087 \)

\( \sum (x - \bar{x})^2 = 503746299 - 503254087 = 492212 \)

\( \sum (y - \bar{y})^2 = \sum y^2 - n\bar{y}^2 = 23163 - 7×(56.4286)^2 \)

\( 56.4286^2 ≈ 3184.14 \), \( 7×3184.14 ≈ 22288.98 \)

\( \sum (y - \bar{y})^2 ≈ 23163 - 22288.98 = 874.02 \)

Now, \( r = \frac{\sum (x - \bar{x})(y - \bar{y})}{\sqrt{\sum (x - \bar{x})^2 \sum (y - \bar{y})^2}} = \frac{4285}{\sqrt{492212×874.02}} \)

Calculate denominator: \( \sqrt{492212×874.02} ≈ \sqrt{430,200,000} ≈ 20741.26 \)

Then \( r ≈ \frac{4285}{20741.26} ≈ 0.207 \)

Wait, but let's recalculate with precise numbers.

Wait, \( \sum xy = 8179×52 = 425308 \); 8218×70=575260; 8518×43=366274; 8992×74=665408; 8636×43=371348; 8535×57=486495; 8275×56=463400. Sum: 425308+575260=1,000,568; +366,274=1,366,842; +665,408=2,032,250; +371,348=2,403,598; +486,495=2,890,093; +463,400=3,353,493. Correct.

\( n=7 \), \( \sum x=59353 \), \( \sum y=395 \), \( \sum x^2=503746299 \), \( \sum y^2=23163 \)

So:

Numerator: \( 7×3353493 - 59353×395 = 23474451 - 23444435 = 30016 \) (Wait, earlier mistake in \( \bar{x}\bar{y} \) calculation. \( 59353×395 = 59353×(400 - 5) = 59353×400 - 59353×5 = 23,741,200 - 296,765 = 23,444,435 \). \( 7×3353493 = 23,474,451 \). So numerator is 23,474,451 - 23,444,435 = 30,016. Correct.

Denominator part 1: \( 7×503746299 - 59353^2 = 3,526,224,093 - 3,522,788,609 = 3,435,484 \) (since \( 59353^2 = (59000 + 353)^2 = 59000^2 + 2×59000×353 + 353^2 = 3,481,000,000 + 41,054,000 + 124,609 = 3,522,178,609 \)? Wait, no, 59353×59353: let's use calculator-like steps. 59353×59353:

= (60000 - 647)² = 60000² - 2×60000×647 + 647² = 3,600,000,000 - 77,640,000 + 418,609 = 3,522,778,609. Ah! I had a typo earlier, 59353² is 3,522,778,609, not 3,522,788,609. So \( 7×503,746,299 = 3,526,224,093 \). Then \( 3,526,224,093 - 3,522,778,609 = 3,445,484 \).

Denominator part 2: \( 7×23,163 - 395² = 162,141 - 156,025 = 6,116 \).

Now denominator: \( \sqrt{3,445,484×6,116} \). Let's compute 3,445,484×6,116:

3,445,484×6,000 = 20,672,904,000

3,445,484×116 = 3,445,484×(100+16) = 344,548,400 + 55,127,744 = 399,676,144

Total: 20,672,904,000 + 399,676,144 = 21,072,580,144

Square root of 21,072,580,144: Let's see, 145,164² = (145,000 + 164)² = 145,000² + 2×145,000×164 + 164² = 21,025,000,000 + 47,840,000 + 26,896 = 21,072,866,896. Close, but our product is 21,072,580,144, which is less. Let's try 145,150² = (145,000 + 150)² = 21,025,000,000 + 43,500,000 + 22,500 = 21,068,522,500. Still less. 145,160² = 145,150² + 2×145,150×10 + 10² = 21,068,522,500 + 2,903,000 + 100 = 21,071,425,600. 145,163²