Question

In: Math

The number of initial public offerings of stock issued in a​ 10-year period and the total...

The number of initial public offerings of stock issued in a​ 10-year period and the total proceeds of these offerings​ (in millions) are shown in the table. Construct and interpret a​ 95% prediction interval for the proceeds when the number of issues is

585.

The equation of the regression line is

ModifyingAbove y with caret equals 33.634 x plus 17 comma 224.539y=33.634x+17,224.539.

​Issues, x

404

453

679

483

479

394

50

73

175

175

​Proceeds, y

19,308

29,108

43,643

31,033

35,712

35,665

21,501

10,090

31,384

27,981

Construct and interpret a​ 95% prediction interval for the proceeds when the number of issues is

585.

Select the correct choice below and fill in the answer boxes to complete your choice.

​(Round to the nearest million dollars as needed. Type your answer in standard form where​ "3.12 million" means​ 3,120,000.)

A.We can be​ 95% confident that when there are 585 issues, the proceeds will be between $____ and ​$____.

B.There is a​ 95% chance that the predicted proceeds given 585 issues is between ​$____ and ​$____.

Solutions

Expert Solution

X Y (x-x̅)² (y-ȳ)² (x-x̅)(y-ȳ)
404 19,308 4556.25 85275990 -623329
453 29,108 13572.25 319790.3 65880.75
679 43,643 117306.25 2.28E+08 5171921
483 31,033 21462.25 6202590 364858.3
479 35,712 20306.25 51401730 1021654
394 35,665 3306.25 50730006 409543.8
50 21,501 82082.25 49582722 2017390
73 10,090 69432.25 3.4E+08 4862234
175 31,384 26082.25 8074122 -458902
175 27,981 26082.25 315282.3 90682.25
ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 3365 285425 384188.5 8.2E+08 12921933
mean 336.5 28542.5 SSxx SSyy SSxy

sample size ,   n =   10          
here, x̅ =   336.5       ȳ =   28542.5  
                  
SSxx =    Σ(x-x̅)² =    384188.5          
SSxy=   Σ(x-x̅)(y-ȳ) =   12921932.5          
                  
slope ,    ß1 = SSxy/SSxx =   33.63435527          
                  
intercept,   ß0 = y̅-ß1* x̄ =   17224.53945          
                  
so, regression line is   Ŷ =   17224.5395   +   33.6344   *x
                  
SSE=   (Sx*Sy - S²xy)/Sx =    385801222.01          
                  
std error ,Se =    √(SSE/(n-2)) =    6944.4332          

----------------

X Value=   585
Confidence Level=   95%
  
  
Sample Size , n=   10
Degrees of Freedom,df=n-2 =   8
critical t Value=tα/2 =   2.306 [using t table]
X̅ =    336.500
Σ(x-x̅)² =Sxx = 384188.500
Standard Error of the Estimate,Se=   6944.433
h Statistic = (1/n+(X-X̅)²/Sxx) =    0.261
Predicted Y (YHat) at x=585 is 36900.637

standard error, S(ŷ)=Se*√(1+h stat) =    7797.3779

margin of error,E=t*std error=t/S(ŷ)=    17980.7856
Prediction Interval Lower Limit=Ŷ -E =   18919.8517 million
Prediction Interval Upper Limit=Ŷ +E =   54881.4229 million


B.There is a​ 95% chance that the predicted proceeds given 585 issues is between ​$_18920million___ and ​$__54881million__.


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