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For the data set shown below, complete parts (a) through (d) below x 3 4 5 7 80

ID: 3371823 • Letter: F

Question

For the data set shown below, complete parts (a) through (d) below x 3 4 5 7 80 y4 6 8 11 1 (a) Find the estimates of Po and p o(Round to three decimal places as needed.) ?, ~ b1-O (Round to three decimal places as needed.) (b) Compute the standard error, the point estimate for ? (Round to four decimal places as needed.) (e) Assuming the residuals are normally distributed, determine s Round to three decimal places as needed.) d) Assuming the residuals are normally dist tu ted, test Ho: ??-? versus H1 : ?1-0 at the ?-0.05 level of significance. Use the P-value approach. The P-value for this test is (Round to three decimal places as needed.) Make a statement regarding the null hypothesis and draw a conclusion for this test Choose the correct answer below ?A. Reject Ho . There is sufficient evidence at the ?-0?5 lovel of significance to conclude that a linear relation exists between x and y O B. Raiet Ho There is not sufeient evidence at the ?-0.05 level of significance to conclude that a linear relation exists between x and y. ??. bo not reject Ho There is not sumo ent evidence at the ? "O05level of sigh cance to conclude that a inear relation exists between x and 00, Donot reject Ho . There is sufficient evidence at the ?-006 level of significance to conclude that a linear relation exists between x and

Explanation / Answer

Result:

a).

bo = -1.698

b1 = 1.907

b).

se = 0.4659

c).

sb1= 0.112

d).

P=0.000

A.Reject Ho. There is sufficient evidence.

Regression Analysis

0.9897

n

5

r

0.9948

k

1

Std. Error

0.4659

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

62.5488

1  

62.5488

288.17

.0004

Residual

0.6512

3  

0.2171

Total

63.2000

4  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=3)

p-value

95% lower

95% upper

Intercept

-1.6977

0.6414

-2.647

.0772

-3.7389

0.3435

x

1.9070

0.1123

16.976

.0004

1.5495

2.2645

Regression Analysis

0.9897

n

5

r

0.9948

k

1

Std. Error

0.4659

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

62.5488

1  

62.5488

288.17

.0004

Residual

0.6512

3  

0.2171

Total

63.2000

4  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=3)

p-value

95% lower

95% upper

Intercept

-1.6977

0.6414

-2.647

.0772

-3.7389

0.3435

x

1.9070

0.1123

16.976

.0004

1.5495

2.2645