If the correlation coefficient in an ordinary least squares regression = 1.00, then A. all the data points must fall exactly on
1 answer:
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To begin, you are given two point that this function would intercept: (0,3) where the 0 is the original year (2000) and 3 is the amount of million cars sold. The next point would be (6,2.5) Where the 6 is the 6 years later and the 2.5 is the 2.5 million cars sold. Since we have 2 points, we can work out the gradient by finding the rate of change in y and dividing by the rate of change in x:
We then substitute in the points:
Because we started on the y-intercept of (0,3), we already have our intercept value of 3. If we did not start with the y-intercept given, we could substitute in a point to solve for it:
Using point (2.5,6):
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Hope this helps :)
We then substitute in the points:
Because we started on the y-intercept of (0,3), we already have our intercept value of 3. If we did not start with the y-intercept given, we could substitute in a point to solve for it:
Using point (2.5,6):
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</span>
Hope this helps :)
Answer:
28%
Step-by-step explanation:
Here is the missing table from the question:
Speed (mph) Number of Vehicles
36-40 2
41-45 14
46-50 18
51-55 12
56-60 4
Given: A police officer records the speeds of vehicles on a road.
Now, finding the percent of vehicles traveling between 41 and 45 miles per hour.
First, calculating the total number of vehicles.
Total vehicles=
Vehicles travelling at speed of 41-45 mph= 14
Formula; percent of vehicles traveling between 41 and 45 mph=
⇒ Percent of vehicles traveling between 41-45 mph=
∴ Percent of vehicles traveling between 41-45 mph is 28%