The scatterplot below shows the model year, x, and the asking price, y, of cars of a particular model on a used car website. There is one car at the point (1989, 3475). Suppose the data set had been presented without this car included.
What effect would this point's absence have on the correlation coefficient?
Price versus Model Year for Used Cars
25,000
20 000
15,000
Price (S)
10.000
(1989, 3475)
5000
0
1980
1990
2010
2020
2000
Model Year

c. y = 1/4 x + 5

step-by-step explanation:

first, put the equation of the line on the graph into slope-intercept form

(y = mx + b):   y = -4x + 8

second, a perpendicular line has to have "an opposite/reciprocal slope" to the original slope. so, find the "m" value in your original equation (it's -4, right? )

original slope: m = -4   perpendicular slope: change the sign to its opposite and find the reciprocal ("flip" the number)

new slope is now positive (b/c the original slope was negative 4), and it's 1/4 (not the original slope of 4 or 4/1)

0.02

step-by-step explanation:

time of 9 192 631 770 periods of the radiation corresponding to the transition between the 2 hyperfine levels of the ground state of the caesium 133 atom at 0 k (but other seconds are sometimes used in astronomy)

the graph line crosses the x axis at both -6 and -2, so the answer would be the second one.