Medal rewarded!!!!!!!!!

when reading the computer output, the regression equation is typically buried among other statistics. The value of the slope is the coefficient of the explanatory variable. The value of the intercept is coeff. of the constant. For the problem, the regression equation is:
number of aircraft = 2939.93 + 233.517 * (years since 1990)

how do I find the predicted number and the actual number of aircrafts flying in 1922?

Question

Medal rewarded!!!!!!!!!

when reading the computer output, the regression equation is typically buried among other statistics. The value of the slope is the coefficient of the explanatory variable. The value of the intercept is coeff. of the constant. For the problem, the regression equation is: 
number of aircraft = 2939.93 + 233.517 * (years since 1990)

how do I find the predicted number and the actual number of aircrafts flying in 1922?

anonymous · Answer

@agent0smith

anonymous · Answer

@Hasan-Koush

agent0smith · Answer

(years since 1990)

replace that with 1990-1922, since that's the years before 1990.

anonymous · Answer

would that be the actual number?

agent0smith · Answer

use this to calculate the prediction

2939.93 + 233.517 * (years since 1990)

anonymous · Answer

ok how do I find the actual though?

agent0smith · Answer

Plug in whatever 1990-1922 is in that equation.

anonymous · Answer

would it be 3406.964

agent0smith · Answer

2939.93 + 233.517 *(-68)

which is a negative number and doesn't make sense... so idk if the original equation is written wrongly or just isn't valid for 1922.

agent0smith · Answer

number of aircraft = 2939.93 + 233.517 * (years since 1990)

since we're predicting for 1922... this seems like a bad equation to use, given it's for 1990 and on...

anonymous · Answer

would it be 2939.93+233.517*2?

agent0smith · Answer

but you said 1922...

anonymous · Answer

yeah...years since 1990...1992 would be 2 years since 1990

agent0smith · Answer

You said 1922 :P 

1992 makes more sense.

anonymous · Answer

so the equation would be 2939.93 + 233.517* what?

agent0smith · Answer

Yours was right... notice that you originally wrote 1922. Then you said 1992.

1922 is 68 years before 1990.

1992 is 2 years after :P 

2939.93+233.517*2 is correct.

anonymous · Answer

oh my bad sorry I meant 1992

anonymous · Answer

so the predicted number would be 3406.964?

anonymous · Answer

@agent0smith

agent0smith · Answer

Looks about right.

anonymous · Answer

how would I find the actual number now?

agent0smith · Answer

THe actual... i have no clue. Why would you need it"? No equation can give that... you'd have to look it up

anonymous · Answer

would it be on a graph if there was one in the equations?

agent0smith · Answer

Yes, it'd be a point on the original graph, that was used to get the regression line

anonymous · Answer

ok thank you

agent0smith · Answer

no prob :)