he 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 51984.5 Coefficients Standard Error t Stat P-value Intercept 20.000 3.2213 6.21 Annual Gross Rents 7.220 1.3627 5.29 a. How many apartment buildings were in the sample

Number of apartment = 9

Step-by-step explanation:

Given the ANOVA result :

ANOVA df SS

Regression __ 1 ___ 41587.1

Residual 7 ___

Total 8 __ 51984.5

Number of apartment building in sample (n) :

Degree of freedom (df) = n - 1

The degree of freedom = total = 8

Hence,

8 = n - 1

8 + 1 = n - 1 + 1

9 = n

Hence, number of apartment building in sample = 9

i think it would be 43 movies that would have to be watched.

step-by-step explanation:

think about it. for the second plan, every month is 8 dollars. 8 x 12= 96. so thats the number for the second plan. now for the first plan, its annual meaning you have to pay 10 dollars every year. so now you have to get an equivalent amount of 86 since 96-10=86. 86 divided by 2 since every movie costs 2$ then you would have to watch 43 movies a year to get the same as the second plan. i really hoped this . have a wonderful day as well!

no

step-by-step explanation:

2-7=-5

7-2=5

when you combing like terms for ech expression, 5 and -5. these numbers are not equal to each other.