Predicted value YHat is a symbol used to represent the predicted equation for a line of best fit in a linear regression. The equation usually take the form of 'a' as the y- intercept and 'b' as the slope of the graph. It is calculated from estimated regression equations for the line of best fit.

While outcome of experiment is the total of all possible results from an experiment.

Step-by-step explanation:

8 0

3 years ago

If x + 2 is the only factor of the polynomial P(x),then P(2) is:

Levart [38]

Answer:

The answer is R(2).

Step-by-step explanation:

hope this helped!

4 0

3 years ago

Kiwi and Corn got into an argument over if 1.75 was a reasonable estimate for 6. Do you think 1.75 was a reasonable estimate for

snow_tiger [21]

Answer:

No, it is not.

Step-by-step explanation:

comparing the two given values, 1.75 and 6, estimating 1.75 for 6 is not reasonable. This is due to the fact that converting 1.75 to the nearest whole number gives 2 which is far away from 6. Since,

6 - 2 = 4

So, estimating 1.75 for 6 would involve a large value of error. Which make it unreasonable. It would have been more reasonable to estimate 1.75 for 2.

4 0

4 years ago