It will reach 80 feet for the second time after 5 seconds.
We set the equation equal to 80 feet:
80= -16t² + 96t
When solving quadratics, we want it equal to 0, so we subtract 80 from both sides:
80-80= -16t² + 96t - 80
0= -16t² + 96t - 80
We use the quadratic formula to solve:
Answer:
They got the same answer
Step-by-step explanation:
A slope is completely linear, and the rate of change is constant, so no matter what points are chosen, the rate of change will be the same.
{(3, –2), (6, 1), (–1, 4), (5, 9), (–4, 0)}
(x, y)
Domain = x
Range = y
Domain = (3, 6, -1, 5, -4)
In case you need the range it is (-2, 1, 4, 9, 0).
Answer: (3, 6, -1, 5, -4)
Hope this Helps!!
Answer:
The equation of the least square regression line for predicting selling price from appraised value is:
Step-by-step explanation:
The general form of the least square regression line is:
Here,
<em>y</em> = dependent variable
<em>x</em> = independent variable
<em>a</em> = <em>y</em>-intercept
<em>b</em> = slope
The Minitab output for regressing selling price on appraised value is:
Predictor Coef SE Coef T
Constant 227.0989 95.044 2.389
Appraisal 0.8991 0.133 6.76
S = 88.7959
R-Sq = 76.5%
R-Sq (adj) = 74.9%
The constant term in the regression output represents the <em>y</em>-intercept and the Appraisal coefficient the slope of the regression line.
Then the equation of the least square regression line for predicting selling price from appraised value is:
