Answer:
Solution-
We know that,
Residual value = Given value - Predicted value
The table for residual values is shown below,
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.
We know that,
If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.
As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.
Hope this helps!
Step-by-step explanation:
2.6925 is the mean/ avg you add all the numbers and divide by the amount of numbers you added
Answer:
i think C
Step-by-step explanation:
tell me if i am wrong and hope you have a good day
Time = Distance / Speed [ Already mentioned ]
Then, substitute the known values,
t = (9.6 × 10⁶) / (3 × 10⁸)
t = 3.2 × 10⁻² s
In short, Your Answer would be Option B
Hope this helps!
Answer:
Steps and solution in the attached picture.
Step-by-step explanation:
Steps and solution in the attached picture.