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Welcome to Rutgers Week

2014
X1= 42 y1=24
2015
x2=28 y2= 14; slope2 =( 28-42)/(14-24)=1.4
2017
X3= 27 y3= 17; slope3=(27-28)/(17-14)=-0.333
2020
x4= 28 y4= 21; slope4=(28-27)/(21-17)=0.25
2022
X5= 14 y5= 13; slope5=(14-28)/(13-21)=1.75

Xn =Nebraska
Yn = Rutgers
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The last time the two teams met, they were headed to 4-8 records. NU beat Rutgers in Piscataway three weeks after firing Frost and two weeks after firing DC Chinander. The interim DC Bill Busch admitted that in the game prior to playing Rutgers the goal was to consistently be lined up correctly for the call. That was the team Rutgers lost to at home. Rutgers was featuring a QB that was on the Nebraska roster previously and couldn’t start. Suffice to say that both teams have improved. Schiano and Rhule are coaching upgrades. This will be NU limiting RUs run game vs. Rutgers making Raiola sweat. Rutgers defense looks a little leaky statwise. And can their QB keep his shit together in a stadium that may well be the loudest he’s ever played in.
 
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I've seen a lot of new lows with this program over the last several years. A 4 page smack talk thread with Rutgers fans about who's the tallest midget might be the lowest

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2014
X1= 42 y1=24
2015
x2=28 y2= 14; slope2 =( 28-42)/(14-24)=1.4
2017
X3= 27 y3= 17; slope3=(27-28)/(17-14)=-0.333
2020
x4= 28 y4= 21; slope4=(28-27)/(21-17)=0.25
2022
X5= 14 y5= 13; slope5=(14-28)/(13-21)=1.75

Xn =Nebraska
Yn = Rutgers
You should actually be giving the slope for the line of best fit but I will give you partial credit since it’s a sports board.

It would be much better to develop a system of differential equations to model the outcomes through the years to better account for the multiple variables affecting the score differential. Of course one factor that would have to be accounted for is the Matt Rhule factor and that wouldn’t show up at all in your simple linear model. Feel free to use MATLAB to assist you with your assignment.
 
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