[Intro Stats] Quick regression analysis

Have a 5 question analysis on linear regression analysis, having a really hard time interpreting. In an attempt to determine the factors that affect the amount of energy used, 200 households were analyzed. The number of occupants and the amount of electricity used were measured for each household.

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.591435077

R Square 0.34979545

Adjusted R Square 0.346511589

Standard Error 192.5339738

Observations 200

Coefficients

Intercept 458.9117267

Occupants 64.00068984

Mild strength positive line

b. What is the equation of the regression line?

c. What is the meaning of the slope in the context of these data and the regression line?

d. What does the intercept coefficient of the regression line tell you about the relationship between the amount of energy used and the number of household occupants?

e. What is the coefficient of correlation and determination for these data? Explain the meaning of each in the context of these data.

f. Does the simple regression model appear to be useful in predicting the amount of energy used?

Any help would really be appreciated, so hard putting these into words. Thanks