The data set represents a month-to-month progression of gasoline prices over the course of several months in an unspecified city. Use a graphing calculator to determine the quadratic regression equation for this data set. x
0
1
2
3
4
5
y
1.30
1.34
1.38
2.20
2.88
2.24

a.
y = negative 0.015 x squared + 0.365 x + 1.116
c.
y = negative 0.015 x squared + 0.0365 x + 1.116
b.
y = 0.015 x squared minus 0.365 x + 1.116
d.
y = negative 0.015 x squared + 0.365 x minus 1.116

Ricky takes out a $31,800 student loan to pay his expenses while he is in college. after graduation, he will begin making payments of $190.66 per month for the next 30 years to pay off the loan. how much more will ricky end up paying for the loan than the original value of $31,800? ricky will end up paying $ more than he borrowed to pay off the loan.

Acompany manufactures large valves, packed in boxes. a shipment consists of 1500 valves packed in 75 boxes. each box has the outer dimensions 1.2 x 0.8 x 1.6 m and the inner dimensions 1.19 x 0.79 x 1.59 m. the boxes are loaded on a vehicle (truck + trailer). the available capacity in the vehicle combination is 140 m3. each valve has a volume of 0.06 m3. - calculate the load factor on the box level (%). - calculate the load factor on the vehicle level (%). - calculate the overall load factor (%).

On a piece of paper graft y+2> -3x-3 then determine which answer matches the graph you drew