In: Statistics and Probability
| 
 Year  | 
 Number of Alternative-Fueled Vehicles in US  | 
| 
 2000  | 
 394,664  | 
| 
 2001  | 
 425,457  | 
| 
 2002  | 
 471,098  | 
| 
 2003  | 
 533,999  | 
| 
 2004  | 
 565,492  | 
| 
 2005  | 
 592,125  | 
| 
 2006  | 
 634,562  | 
| 
 2007  | 
 695,766  | 
3. Find the correlation and regression lines for the data above.
r=
LinReg(ax+b)=
| Year (X) | Vehicles (Y) | X * Y | 
![]()  | 
![]()  | 
|
| 2000 | 394664 | 7.89E+08 | 4000000 | 1.56E+11 | |
| 2001 | 425457 | 8.51E+08 | 4004001 | 1.81E+11 | |
| 2002 | 471098 | 9.43E+08 | 4008004 | 2.22E+11 | |
| 2003 | 533999 | 1.07E+09 | 4012009 | 2.85E+11 | |
| 2004 | 565492 | 1.13E+09 | 4016016 | 3.2E+11 | |
| 2005 | 592125 | 1.19E+09 | 4020025 | 3.51E+11 | |
| 2006 | 634562 | 1.27E+09 | 4024036 | 4.03E+11 | |
| 2007 | 695766 | 1.4E+09 | 4028049 | 4.84E+11 | |
| Total | 16028 | 4313163 | 8.64E+09 | 32112140 | 2.4E+12 | 
Correlation

r = 0.996
Equation of regression line is 
b = 42235.869
a =( 4313163 - ( 42235.869 * 16028 ) ) / 8
a = -84080418.262
Equation of regression line becomes