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5. The height (sidewalk to roof of notable tall buildings in America is compared

ID: 3233156 • Letter: 5

Question

5. The height (sidewalk to roof of notable tall buildings in America is compared to the number of stories of the building (beginning at street level). Stories, x Height (in feet), y Tall Buildings in America 1,050 2,000 28 428 1500 26 362 1.000 529 500 790 20 40 60 80 100 120 22 401 Stories 380 110 1,454 100 1,127 46 700 a. Looking at the scatter plot of the data, does it appear that there is a linear relationship between the data? so, what the "direction" of this relationship? b. Calculate the least squares line a bx: c. Find the correlation coefficient, r d. use the P-value to test the significance of the correlation coefficient. Use a significance level of 5%. P value a Decision regarding Ho: Conclusion:

Explanation / Answer

Answer:

a). There appears that there is linear relation between height and stories. The direction is positive.

b). The regression line y=102.4287+11.7585*x

c). r=0.944

d). P=0.000 < 0.05.

Reject Ho.

There is significant correlation between heights and stories.

e).

when x=32,

predicted y =102.4287+11.7585*32 =478.7007.

when x=94,

predicted y =102.4287+11.7585*94 =1207.728

f).

se=132.764.

g).

slope=11.7585

when stories increases by 1, the height increases by 11.7585 feet.

h).

r2 = 0.890

89% of variation in height is explained by stories.

Regression Analysis

0.890

n

10

r

0.944

k

1

Std. Error

132.764

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1,144,819.8376

1  

1,144,819.8376

64.95

4.14E-05

Residual

141,011.0624

8  

17,626.3828

Total

1,285,830.9000

9  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=8)

p-value

95% lower

95% upper

Intercept

102.4287

87.6061

1.169

.2760

-99.5914

304.4488

x

11.7585

1.4590

8.059

4.14E-05

8.3939

15.1230

Regression Analysis

0.890

n

10

r

0.944

k

1

Std. Error

132.764

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

1,144,819.8376

1  

1,144,819.8376

64.95

4.14E-05

Residual

141,011.0624

8  

17,626.3828

Total

1,285,830.9000

9  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=8)

p-value

95% lower

95% upper

Intercept

102.4287

87.6061

1.169

.2760

-99.5914

304.4488

x

11.7585

1.4590

8.059

4.14E-05

8.3939

15.1230

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