Answer:
Step-by-step explanation:
26×N
Linear regression is a technique which consolidates a group of data points into a linear correlation considering the deviation of the points. In this case, we can manipulate the labels of x and y axis to create a linear correlation. The line is always dependent on the mean and the standard deviation so it is expected to pass through the mean,
Answer:
63
Step-by-step explanation:
15 x 4.2
15 x 42 (get rid of the decimal by moving it one to the right)
15 x 42 = 630
630 = 63.0 (put the decimal back in by placing it one spot to the left)
Answer: 63
hope this helps :)
