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 ?

durbanville | Certified Educator

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.