One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and asking prices (in thousand of dollars) for a random sample of home for sales. Complete parts (a) through (h).
Square Footage, x Asking Prince ($000s), y
1,148 154
1,096 159.9
1,151 169
1,288 169.9
1,322 170
1,466 179.9
1344 180
1,544 189
1,494 189.9
(a) And (b) have done.
(a) Determine the linear correlation coefficient between square footage and asking price.
The linear correlation coefficient between square footage and asking price is r = (........)(Round to three decimal places as needed)
(b) Is there a linear relation between the square footage and asking price?
(c) Find the least-square regression line treating square footage as the explanatory variable.
(d) Interpret the slop
(e) Is it reasonable to interpret the y-intercept?
(f) One home that is1, 094 square feet is listed as 189,900. Is this home's price above or below average for home of this size?