Answer:
See below for answers and explanations
Step-by-step explanation:
Your table is a little weird, so I will try my best:
a) A linear regression equation for the line of best fit would be y-hat = 0.018x - 24.5111 where y-hat is the predicted value for the recorded weight gain (in pounds) and x is the additional daily caloric intake. You can put the data into lists and use the LinReg function on the TI-84 to get this equation.
b) It seems that as the pony's additional calorie intake increases, the weight gain also increases in pounds
c) Set x equal to 2300 and solve for y-hat:
y-hat = 0.018x - 24.5111
y-hat = 0.018(2300) - 24.5111
y-hat = 41.4 - 24.5111
y-hat = 16.8889
So our predicted value for the weight gain based on an additional 2300 calorie intake is 16.9 pounds.
Answer:
so the answer must be 8
Step-by-step explanation:
4×-2(×+3)=8
Answer:
B is the answer sorry if it was wrong :)
Step-by-step explanation:
<span>Simplifying
2n + -7 + 3(4n + -3) = 0
Reorder the terms:
2n + -7 + 3(-3 + 4n) = 0
2n + -7 + (-3 * 3 + 4n * 3) = 0
2n + -7 + (-9 + 12n) = 0
Reorder the terms:
-7 + -9 + 2n + 12n = 0
Combine like terms: -7 + -9 = -16
-16 + 2n + 12n = 0
Combine like terms: 2n + 12n = 14n
-16 + 14n = 0
Solving
-16 + 14n = 0
Solving for variable 'n'.
Move all terms containing n to the left, all other terms to the right.
Add '16' to each side of the equation.
-16 + 16 + 14n = 0 + 16
Combine like terms: -16 + 16 = 0
0 + 14n = 0 + 16
14n = 0 + 16
Combine like terms: 0 + 16 = 16
14n = 16
Divide each side by '14'.
n = 1.142857143
Simplifying
n = 1.142857143</span>
Answer:
Step-by-step explanation:
