40:46 Age (years)
0
3
6
9
12
15
18
Value (thousands)
140
148
160
162
185
178
194
Using the data from the table determine if there is a linear trend between the age of a house and its value and determine if
there is an exact linear fit of the data. Describe the linear trend if there is one.
a. Negative linear trend, an exact linear fit.
b. Negative linear trend, not an exact linear fit.
C.
Positive linear trend, an exact linear fit.
d. Positive linear trend, not an exact linear fit.

Look at arnold's attempt to solve the equation for b: 3b = 12 b = 3 · 12 b = 36 describe the mistake that arnold made.

Since opening night, attendance at play a has increased steadily, while attendance at play b first rose and then fell. equations modeling the daily attendance y at each play are shown below, where x is the number of days since opening night. on what day(s) was the attendance the same at both plays? what was the attendance? play a: y = 8x + 191 play b: y = -x^2 + 26x + 126 a. the attendance was never the same at both plays. b. the attendance was the same on day 5. the attendance was 231 at both plays on that day. c. the attendance was the same on day 13. the attendance was 295 at both plays on that day. d. the attendance was the same on days 5 and 13. the attendance at both plays on those days was 231 and 295 respectively.

Prove that (x-2)is factor of p (x)=2x³-3x²-17x+30