Question

For the data set shown? below, complete parts ?(a) through ?(d)

below

x	20	30	40	50	60
y	102	97	89	85 72

(a) Use technology to find the estimates of ?0 and ?1.

(b) Use technology to compute the standard? error, the point estimate for ?.

?(c) Assuming the residuals are normally? distributed, use technology to determine s Subscript b 1 Baseline .

(d) Assuming the residuals are normally? distributed, test

Upper H 0 : ?1=0 versus Upper H 1: ?1?0 at the??alpha?=0.05 level of significance. Use the? P-value approach.

(E)What is the hypothesis?

Answer 1

Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.98 0.96 0.93 2.71 4.00 20 30 102 97 89 72 ANOVA Significance F 0.02 MS Regression Residual Total 312.05 14.70 326.75 312.0542.46 10 7.35 Coefficients | Standard Error | t stat | P-value Lower 95% 97.11 1.31 er 95% 145.49 -0.27 Lower 95.0% | Upper 95.0% 12 13 14 Intercep 121.30 5.62 21.58 0.00 97.11 145.49 -0.79 0.12 6.52 0.02 1.31 -0.27 16 17 b0 121.30 b1:-0.79 Standard Error 2.71 19 b1-0.79 21 The P value is less than 0.05. We reject the null hypothesis at 5% level 23 The Null hypothesis is the regression model is insignificant Sheet1 Sheet2, Sheet3 Sheet, Sheet5 Sheet6