Question

In: Statistics and Probability

(1 point) The table below shows (lifetime) peptic ulcer rates (per 100 population), UU, for various...

(1 point) The table below shows (lifetime) peptic ulcer rates (per 100 population), UU, for various family incomes, xx, as reported by the 1989 National Health Interview Survey.

Income 4000 6000 8000 12000 16000 20000 30000 45000 60000
Ulcer rate 14.2 13.6 12.9 12.8 12.9 12.4 11.5 9.4 7.9

(a) Find the equation of the regression line.

Ulcer rate, U(x)=U(x)=  .

(b) Estimate the peptic ulcer rate for an income level of x0=x0= 28000 according to the linear model in part (a).

Ulcer rate, U(x0)=U(x0)=  .

Solutions

Expert Solution

Solution:

First of all, we have to find the regression model for the prediction of the dependent variable Ulcer rate based on the independent variable as family income. We have to use this regression model for answering question based on it. Required regression model by using excel is given as below:

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.988644584

R Square

0.977418113

Adjusted R Square

0.974192129

Standard Error

0.329339867

Observations

9

ANOVA

df

SS

MS

F

Significance F

Regression

1

32.86296899

32.86297

302.9829

5.08093E-07

Residual

7

0.759253237

0.108465

Total

8

33.62222222

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Intercept

14.31195423

0.174293234

82.11423

1.05E-11

13.89981622

14.72409224

Income

-0.00010551

6.06158E-06

-17.4064

5.08E-07

-0.000119844

-9.1177E-05

Part a

Find the equation of the regression line.

From above output, equation of the regression line for the prediction of dependent variable Ulcer rate is given as below:

Ulcer rate = 14.311954 – 0.000106*Income

Y = 14.311954 – 0.000106*X

U(X) =14.311954 – 0.000106*X

Part b

Here, we have to estimate the peptic ulcer rate for an income level of X0 = 28000

Ulcer rate = 14.311954 – 0.000106*Income

Ulcer rate = 14.311954 – 0.000106*28000

Ulcer rate = 14.311954 - 2.968

Ulcer rate =11.343954

U(X0) = 11.343954


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