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A study was done to investigate the population of bald eagle breeding pairs over time. The correlating regression model is shown

below where x represents the number of years after 1986, and y represents the number of bald eagle breeding pairs. Interpret the y-

intercept

y=1.772-334

A. There were approacimately 334 eagle breeding pairs in 1986.

B. There were approximately 1.772 eagle breeding pairs in 1986.

c. There were approximately 1.772 additional eagle breeding pairs each year after 1986.

D. There were approximately 334 additional eagle breeding pairs each year after 1986

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Complete question :

A study was done to investigate the population of bald eagle breeding pairs over time. The correlating regression model is shown

below, wiere x represents the number of years after 1986, and y represents the number of bald eagle breeding pairs. Interpret the y-

intercept

y = 1.772 +334x

Answer:

B. There were approximately 1.772 eagle breeding pairs in 1986

Step-by-step explanation:

Given the regression equation : y = 1.772 +334x

Recall the general form of a linear regression equation :

y = mx + c

y = predicted variable ; x = predictor Variable ; c = intercept ; m = slope

x = number of years after 1986 ; y = number of bald eagle pairs.

The intercept is a constant value at time t = 0

For x to be 0, on a graph, this this the value on the y axis where the regression line crosses the y - axis. That is in 1986; the number of y when in 1986 when x = 0 is 1.772

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