Annual high temperatures in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, calculate the linear regression equation using technology (each constant to 2 decimal places).

x	y
2	35.06
3	37.74
4	35.92
5	37.7
6	36.38
7	39.96
8	37.94
9	39.12
10	40.4
11	39.28
12	42.66
13	41.84
14	40.62
15	41.4

The equation is y^ = x + Interpret the slope

• For each additional year, the annual high temperature will increase by 0.48 degrees on average.
• For each additional 34.91 years, the annual high temperature will increase by 1 degree on average.
• For each additional year, the annual high temperature will increase by 34.91 degrees on average.
• For each additional 0.48 years, the annual high temperature will increase by 1 degree on average.

Interpret the y-intercept

• It does not make sense to interpret the intercept in this scenario.
• In 2002, the temperature was about 0.48.
• In 2015, the temperature was about 41.4.
• In 2000, the temperature was about 34.91.
• In 2002, the temperature was about 34.91