Answer: We are using a line regression tool to solve the parameters asked in the problem. We can use online tools or that of Excel. According to the tool, the best fit values are
Slope0.3848 ± 0.03956
Y-intercept0.6053 ± 0.6370
X-intercept-1.573
1/Slope2.598
Step-by-step explanation: Best fit lines make sure that the standard deviation at each point is minimum from the best fit line.
Answer:
Step-by-step explanation:I think it's C :)
<span>75 lbs of Earl Grey
225 lbs of Orange Pekoe
Some definitions.
E = number of pounds of Earl Grey
(300-E) = number of pounds of Orange Pekoe
Expression for selling price of new blend
P=300*4.5
"there is to be no difference in revenue from selling the new blend versus selling the other types." so
P = 6E + 4(300-E)
Set them equal to each other, then solve for E
300*4.5 = 6E + 4(300-E)
1350 = 6E + 1200 - 4E
150 = 6E - 4E
150 = 2E
75 = E
So 75 lbs of Earl Grey was used and 300-75 = 225 lbs of Orange Pekoe</span>
Answer:
He can purchase a maximum of 6 large candles.
Step-by-step explanation:
If he purchases 6 large candles and 14 small candles:
$5.00 x 6 = $30.00
$3.50 x 14 = $49.00
$49.00 + $30.00 = $79.00
