I need help to understand if my answer for homework is correct.

The following is a multiple linear regression model:Y^=0^+1^X1+2^X2+ei

A portion of the computer analysis obtained from Microsoft Excel 2010 is shown below:

SUMMARY OUTPUT

Regression Statistics

R-Square 0.988

Regression Standard Error 12.420

Observations 52

Coeff StdError tStat

Intercept 286.42 9.66

X1 -0.31 0.06

X2 0.000067 0.00007

Referring to the table above, what is the interpretation of theR2

Answer:

R^2 is very close to 1 where R^2 f 1 indicates a perfect fit.R^2 of .988 indicates the better fitted linear regression model is a linear relationship exist between Y and a set of X's

Find the sum of squared residuals,SSE,and the sum of the squared difference between the observed dependent variable and its average,SST

Answer:

SSE201.9196317

SST16826.63597

SSR16624.71634

Calculate the confidence interval for the slopeB2at the 95% confidence level

Answer:

lower limit B2: -0.000074

upper limit B2: 0.000208

Calculate thet-stat for the slopeB1

Answer:

95% confidence interval for B2 is-0.000074 < = B2 < = 0.000208

Are these two slopes statistically significant at 5% significance level

Answer:

the slope respective to X2 variable in the model is statistically significant at 5% significance levelits sign is positive, when X2 increases in its value then the dependent variable Y will increase in value