Areal estate agent wants to predict the selling price of single-family homes from the size of each house. a scatter plot created from a sample of houses shows an exponential relationship between price, in thousands of dollars, and size, in 100 square feet. to create a linear model, the natural logarithm of price was taken and the least-squares regression line was given as ln(priceˆ)=2.08+0.11(size). based on the model, which of the following is closest to the predicted selling price for a house with a size of 3,200 square fee

john got lost so he didn't know what to do and it was crazy because he didn't except it

step-by-step explanation:

123123 step byt step

one way is to plot 2 points and connect them which is what the answer choices seem to be doing

it seems to be using the y intercept and the slope

y=mx+b, m=slope, b=y-intercept (where the line hits the y axis)

slope=rise/run

y-intercept is where the line croses the y axis which is the y value where x=0

you seem to have given the wrong slope (you didn't put a number in front of te x, it should be 2/3 or 3/2 looking at the answer options)

y=? x-1

m=? because of your fault

b=-1

so it has a slope of ? and y intercept of -1, meaning it pases through (0,-1)

so draw point (0,-1) (so answer is one of the first 2 option)

if slope is 2/3, then go up 2 and right 3 then draw line through those 2 points

if slope is 3/2, then go up 3 and right 2 then draw line through those 2 points