Suppose the manager of a gas station monitors how many bags of ice he sells daily along with recording the highest temperature each day during the summer. the data are plotted with temperature, in degrees fahrenheit (°f), as the explanatory variable and the number of ice bags sold that day as the response variable. the least squares regression (lsr) line for the data is y^ = −114.05+2.17x. on one of the observed days, the temperature was 82 °f and 66 bags of ice were sold. determine the number of bags of ice predicted to be sold by the lsr line, y^, when the temperature is 82 °f. enter your answer as a whole number, rounding if necessary. y^ = 34 ice bags using the predicted value you just found, compute the residual at this temperature. residual =

Our model is

When x=82 degrees F,

We round up to

64 bags

Not sure why it says y^=34 in the question; I'm ignoring that.

The residual is the difference between the actual y and the predicted y,

2

set each factor equal to 0

4x-3 = 0

2x-1 = 0

solve for x.

4x-3=0

4x=3

x= 3/4

solve for x. 

2x-1= 0

2x= 1

x= 1/2

eventually after a few more steps, your answer should be 1/2 is less than or equal to x and 3/4 is greater than or equal to x

the population of other specie of birds will decline or other specie of birds will find some alternate source of food to survive.

explanation:

according to the competitive exclusion principle, which is also known as gause's law, two specie living in the same niche and feeding on the same resource cannot co-exist stably.

as we have well studied the theory of natural selection which states that only those organisms survive which have better tendency to compete for food and adapt to the environmental conditions.

coming towards the question, what wi ll happen when one species outcompetes the other for the small fish , the other specie will not get enough food and will start to die or decline in population. eventually either other specie needs to find another alternative food source for itself or migrate at some other location where there is less competition otherwise it will just not exist anymore at that niche.

hope it !