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.
5.6 the answer is obviously
Answer:
522
Step-by-step explanation:
The assumption is that the proportion of tagged fish caught is the same as the proportion of all fish that were caught and tagged:
(all fish)/(number tagged) = (sample size)/(number in sample tagged)
all fish = (number tagged) · (sample size)/(number in sample tagged)
all fish = 174 · 39/13
all fish = 522
If all the assumptions are reasonable, the number of fish in the lake is estimated at 522.
Answer:
6+2x >32
2x>32-6
2x>26
divide both sides by 2
therefore, x>13
Step-by-step explanation:
this is because x don't has a negative sign or is on the other side