Following the recent season the NFL performed an analysis in

Following the recent season, the NFL performed an analysis in which a simple linear regression model was developed with average home attendance used as the dependent variable and number of games won during the season as the independent variable.The staff is interested in determing whether games won could be used as a predictor for average attendance. Develop the simple linear regression model. The data is as follows:

293

a. What percentage of total variation in average home attendance is explained by knowing the number of games the team won?

b. What is the standard error of the estimate for this regression model?

c Using Significance level of .05, test to determine whether the regression slope coefficient is significantly different from 0

d. After examining the regression analysis results, what should the NFL staff conclude about how the average attendance is related to the number of games the team won?

TEAM GMS TOTAL AVG PCT Wins Points Scored Points Allowed
Arizona 7 297,568 42,509 57.8 5 311 387
Atlanta 8 565,106 70,638 99.2 8 351 341
Baltimore 8 563,076 70,384 102.1 6 265 299
Buffalo 8 575,248 71,906 89.9 5 271 367
Carolina 8 587,700 73,462 100.3 11 391 259
Chicago 8 496,965 62,120 92.8 11 260 202
Cincinnati 8 526,469 65,808 100.4 11 421 350
Cleveland 8 578,330 72,291 100.4 6 232 301
Dallas 8 505,258 63,157 95.9 9 325 308
Denver 8 608,790 76,098 100 13 395 258
Detroit 8 492,580 61,572 94.7 5 254 345
Green Bay 8 562,419 70,302 115.6 4 298 344
Houston 8 562,397 70,299 101.2 2 260 431
Indianapolis 8 457,373 57,171 94.9 14 439 247
Jacksonville 8 525,519 65,689 89 12 361 269
Kansas City 8 623,325 77,915 98.1 10 403 325
Miami 8 575,256 71,907 95.6 9 318 317
Minnesota 8 511,960 63,995 99.9 9 306 344
New England 8 550,048 68,756 101.1 10 379 338
New Orleans 8 417,270 52,158 65.4 3 235 398
NY Giants 8 628,519 78,564 99.8 11 422 314
NY Jets 8 619,958 77,494 98.4 4 240 355
Oakland 8 418,450 52,306 83 4 290 383
Philadelphia 8 541,393 67,674 102.5 6 310 388
Pittsburgh 8 507,434 63,429 97.6 11 389 258
San Diego 8 529,916 66,239 92.9 9 418 312
San Francisco 8 523,426 65,428 93.2 4 239 428
Seattle 8 532,954 66,619 99.4 13 452 271
St. Louis 8 523,685 65,460 100.2 6 363 429
Tampa Bay 8 521,741 65,217 99.3 11 300 274
Tennessee 8 553,192 69,149 103.2 4 299 421
Washington 8 716,999 89,624 111.9 10 359

293

Solution

(a)Adjusted R Square is 0.0074777

(b)3.37609

(c)0.0000771, it is zero

(d)We conclude that the average attendance is not related to the number of games the team won. because the P-value is greater than significance level 0.05.

0.000219094

The

(a)Adjusted R Square is 0.0074777

(b)3.37609

(c)0.0000771, it is zero

(d)We conclude that the average attendance is not related to the number of games the team won. because the P-value is greater than significance level 0.05.

The below is the output of Excel
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.198732547
R Square 0.039494625
Adjusted R Square 0.007477779
Standard Error 3.376091988
Observations 32
ANOVA
df SS MS F Significance F
Regression 1 14.06008657 14.06008657 1.233557653 0.275539149
Residual 30 341.9399134 11.39799711
Total 31 356
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 2.801684397 4.718296956 0.593791451 0.557102832 -6.834363484 12.43773228 -6.834363484 12.43773228
X Variable 1 7.71786E-05 6.94892E-05 1.110656406 0.275539149 -6.47372E-05 0.000219094 -6.47372E-05

0.000219094

Following the recent season, the NFL performed an analysis in which a simple linear regression model was developed with average home attendance used as the depe
Following the recent season, the NFL performed an analysis in which a simple linear regression model was developed with average home attendance used as the depe

Get Help Now

Submit a Take Down Notice

Tutor
Tutor: Dr Jack
Most rated tutor on our site