# Alex puts his spare change in a jar every night. He has $11.09 at the end of January, $22.27 at the end of February, $44.35 in April, $75.82 in August ,and $114.76 at the end of October : D) Alex...

Alex puts his spare change in a jar every night. He has $11.09 at the end of January, $22.27 at the end of February, $44.35 in April, $75.82 in August ,and $114.76 at the end of October :

D) Alex wants to buy a video game console at the end of December for $140. Will he have enough for this purchase ?

C) ON AVERAGE how much money does Alex add to the jar each month?

Perform a linear regression on this data to complete the following items.(A) What does the value of the correlation co-efficient tell you about the correlation of the data? (B) Write the equation of the best -fitting line;(round to the nearest thousands) (C) ON AVERAGE how much money does Alex add to the jar each month? (D) Alex wants to buy a video game console at the end of December for $140. Will he have enough for this purchase ?

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D) Alex wants to buy a video game console at the end of December for $140. Will he have enough for this purchase ?

eNotes rules do not allow for the answering of multiple questions so please repost the remaining questions separately. I have answered C) and D) because they are closely related and we need the answer to C) to calculate the answer to D.

We know Alex has $114.76 by the end of October and we know he had $11.09 at the end of January. Therefore between January and October he saved

Add the $23.04 to the amount he has at the end of October: 114,76.

Therefore he has $114.76 + $23.04 = $137,80

He will **still not have enough** **but**, as we averaged his savings, he **may have** managed to save the remaining $2.20 for the console, allowing him to purchase it.

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