Don't u have a graphing calculator?
plug it into ur y= screen
X = 56°.
Based on the congruence statement, m∠L = m∠P; m∠M = m∠Q; and m∠N = m∠R.
Since m∠L = 72°, m∠P = 72°.
Since m∠N = x°, m∠R = x°.
We are given that m∠Q = 52°.
We can find the value of x by subtracting the given angles from 180:
180-(72+52) = 180-124 = 56°
The answer to this is Janelle runs 3.8 times faster than jean
I 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:
