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In: Statistics and Probability

Question #11 – Regression Analysis Use the data provided to: Perform the “Tests to Check the...

Question #11 – Regression Analysis

Use the data provided to:

  • Perform the “Tests to Check the Validity of a Regression”
    • Show both the calculated and critical values
  • Estimate Y when X = 4 (round to 2 decimal places)

Use a level of significance of 5% (α = .05).

Clearly show the null and alternate hypothesis.

Graphs are not required.

X

Y

3

14

7

26

6

23

4

17

7

28

5

20

8

29

2

11

Solutions

Expert Solution

x y (x-x̅)² (y-ȳ)² (x-x̅)(y-ȳ)
3 14 5.06 49.00 15.75
7 26 3.06 25.00 8.75
6 23 0.56 4.00 1.50
4 17 1.56 16.00 5.00
7 28 3.06 49.00 12.25
5 20 0.06 1.00 0.25
8 29 7.56 64.00 22.00
2 11 10.56 100.00 32.50
ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 42 168 31.500 308.0 98.00
mean 5.25 21.00 SSxx SSyy SSxy

sample size ,   n =   8          
here, x̅ = Σx / n=   5.25   ,     ȳ = Σy/n =   21.00  
                  
SSxx =    Σ(x-x̅)² =    31.5000          
SSxy=   Σ(x-x̅)(y-ȳ) =   98.0          
                  
estimated slope , ß1 = SSxy/SSxx =   98.0   /   31.500   =   3.1111
                  
intercept,   ß0 = y̅-ß1* x̄ =   4.6667          
                  
so, regression line is   Ŷ =   4.6667   +   3.1111   *x

SSE=   (SSxx * SSyy - SS²xy)/SSxx =    3.111
      
std error ,Se =    √(SSE/(n-2)) =    0.720

........

slope hypothesis test               tail=   2
Ho:   ß1=   0          
H1:   ß1╪   0          
n=   8              
alpha =   0.05              
estimated std error of slope =Se(ß1) = Se/√Sxx =    0.720   /√   31.50   =   0.1283
                  
t stat = estimated slope/std error =ß1 /Se(ß1) =    3.1111   /   0.1283   =   24.2487
                  
t-critical value=    2.447   [excel function: =T.INV.2T(α,df) ]          
Degree of freedom ,df = n-2=   6              
decison : test stat > critical value , reject Ho              
Conclusion:   Reject Ho and conclude that slope is significantly different from zero              

so regression is significant

...............

Predicted Y at X=   4   is                  
Ŷ =   4.66667   +   3.111111   *   4   =   17.111



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