The commercial division of a real estate firm is conducting a regression analysis of the relationship between , annual gross rents (in thousands of dollars), and , selling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. ANOVA df SS MS F Significance F Regression 1 41587.1 Residual 7 Total 8 51984.8 Coefficients Standard Error t Stat P-value Intercept 20.000 3.2213 6.21 Annual Gross Rents 7.270 1.3627 5.29 a. How many apartment buildings were in the sample

The number of apartment buildings in the sample was 9.

Step-by-step explanation:

The ANOVA table is as follows:

ANOVA

                     df        SS          MS         F        Significance F

Regression    1     41587.1      __        ___          

Residual        7      ___           __        ___          

Total              8    51984.8     __        ___          

The degrees of freedom of Total is, n - 1.

Compute the sample size as follows:

DF of total = n - 1

              8 = n - 1

              n = 9

Thus, the number of apartment buildings in the sample was 9.

so a parallelogram is just like a square base times height. multiply 40 and 39 to get 1560 inches.

a triangle is base times height divided by two. so multiply 7.9 and 5 and then divide it by 2 to get 19.75inches.

the kite can be split into two separate triangles and added together to get the total area. 30 x 4 /2 which equals 60. make sure to double it for the two triangles making 120.

the answer is simply just 6n add the two together as they have an n