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The chart shows the cost of a used car -- of a specific model and year -- at different total mileages. Using a graphing calculator, find the equation for the line of regression, the Pearson product-moment correlation value (r), and the predicted mileage for a used car when it costs $3000.

 

y = -0.010x + 160; r = -0.88; 130,000 miles

 

y = -0.017x + 325; r = -0.98; 274,000 miles

 

y = -0.027x + 345; r = -0.78; 264,000 miles

 

y = -0.037x + 375; r = -0.78; 264,000 miles​

 

 Feb 22, 2019
 #1
avatar+1015 
+12

We are waiting tfor the picture to load just please wait!!!

Thankyou!

XD!!

 Feb 22, 2019
 #2
avatar+1015 
+11

Okay I see it!!

Nickolas  Feb 22, 2019
 #3
avatar+1015 
+11

So do you know alittle of this so I can use your understanding and help you!

Nickolas  Feb 22, 2019
 #4
avatar+22 
+1

I'm really not sure how to solve these, I thought I'd just post one so I can figure out how to solve the rest :)

thorn  Feb 22, 2019
 #5
avatar+104704 
+4

The correct answer is  A.....

 

I generated the equation here : https://keisan.casio.com/exec/system/14059929550941

 

To  get the predicted mileage when  the car costs $3000 we have

 

-.010(3000)  + 160   = 130  (thousand  miles )

 

 

 

cool cool cool

 Feb 22, 2019
 #7
avatar+22 
+1

It never occurred to me to simply plug in the information XD That calculator will definitely come in handy, as well. Thank you so much!!

thorn  Feb 22, 2019
 #6
avatar+194 
+2

y = -0.010x + 160; r = -0.88; 130,000 miles

 

 

Cphill you are the best cool

 Feb 22, 2019
 #8
avatar+104704 
+3

LOL!!!!...  I didn't really do anything here....just keyed some numbers in and let "magic" take over!!!

 

cool cool cool

CPhill  Feb 22, 2019

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