Economists are studying your local housing market to see whether mortgage approval rates impact home prices. They collect data on mortgage approval rates in your area and compare them with local housing prices. In this experiment, what are the variables measures? A. Mortgage approval rates and discrimination B. Housing prices and income. C. Mortgage approval rates and income. D. Mortgage approval rates and housing prices

D. Mortgage approval rates and housing prices

Step-by-step explanation:

From the study being conducted by the economist, the two variables in their study happens to be the Mortgage approval rates and the housing prices. This is because, the local housing market is influenced by those two.

The higher the value of one variable, it may have a direct or indirect influence on the value of the other variable. To determine the relationship between the two means it need to be investigated.

geometric series converge the common ratio r has magnitude less than one.

which is equivalent to

for the example we need

|2-x| < 1

-1 < 2-x   and 2-x < 1

x < 3 and x > 1

we can write that

answer: 1 < x < 3

1a. common ratio r=250/25=10 > 1     diverges

1b.   r=50/100=1/2 converges

when these converge they converge to

where a is the first term.

answer: 200

1c. r=-1   so it's not the case that |r| < 1.     diverges

2a. x is the common ratio so we converge when |x|< 1

2b.   r=-10x / -2 = 5x.

we converge when

|5x| < 1

|x| < 1/5

2c.   r=3-2x

-1 < 3-2x and 3-2x < 1

-4 < -2x and 2 < 2x

x < 2 and 1 < x

1 < x < 2

2d. [/tex] r=-48x^3/12 = 4x^3[/tex]

|4x^3| < 1

|x^3| < \frac 1 4

|x| < 4^{-1/3}

step-by-step explanation: