Answer:
0.410
Step-by-step explanation:
We are predicting exam 2 scores from exam 1 scores so the dependent variable y is exam 2 scores and independent variable is exam 1 scores x.
The regression equation is
y=a+bx
Where y is exam 2 scores and x is exam 1 scores.
We are given that
correlation coefficient=r=0.6.
Mean and standard deviation of x are xbarx=85 and Sx=12.
Mean and standard deviation of y are xbary=82 and Sy=8.2.
The slope b for this scenario can be found as




Thus, the slope of the regression equation for predicting Exam 2 scores from Exam 1 scores is 0.410.
The correct answer is 60 percent because all probabilities must add to 100%

<h2>33 km</h2>
3.3cm = 0.000033km (divide by 100,000.
So, 0.000033km/yr.
0.000033 × 1,000,000
=33km
Answer:
since 0=noon
and 15 secs=25% of a min
plot the point on the very first line to the right of 0
(the tiny line)
Step-by-step explanation: