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:
im not 100% sure but i think its the last one
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im not 100% sure though
Step-by-step explanation:
The answer is A. S= 4A. Sam = Allie x 4
Answer:
3
Step-by-step explanation:
f(x) = x^2 + 2x - 5
f(-4) = (-4)^2 + 2(-4) - 5
f(-4) = 16 - 8 - 5
f(-4) = 3
30 + 30 is 60 and multiply 60 by 2 is 120 and its 10 rabbits per regular month u would have 40 rabbits total
