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:
She bikes 761.25 miles in all to and from her job in 29 weeks.
Step-by-step explanation:
Distance from her house = 2.625 miles
As this is the distance of one side, she covers same distance for coming back.
Total distance for one day = 2.625 + 2.625 = 5.25 miles
She goes to work for 5 days per week.
29 weeks = 
Total distance covered in 29 weeks;
Total distance = Distance for one day * Days in 29 weeks
She bikes 761.25 miles in all to and from her job in 29 weeks.
Keywords: multiplication, distance
Learn more about multiplication at:
#LearnwithBrainly
<u>Solution-</u>
The atmospheric pressure at sea level = 14.7 lb/in²
Pressure gets reduced by half for each 3.6 miles we move up.
Taking,
x = miles above the sea-level
y = pressure in lb/in²
0 14.7
3.6 7.35
7.2 3.675
10.8 1.8375
It can be observed that both the variables are in inverse proportion as the distance from sea-level increase the pressure decreases.
As only the second graph satisfies the points and inverse proportional condition, so that is the correct graph.
By plotting the graph in excel taking these data set, the following plot was obtained.
For a set population, does a parameter ever change?
Answer: For a set population, a parameter never change.
Because while computing the parameter each and every unit of the population is studied. Therefore, we can not expect a parameter to vary.
If there are three different samples of the same size from a set population, is it possible to get three different values for the same statistic?
Answer: Data from samples may vary from sample to sample, and so corresponding sample statistic may vary from sample to sample.
Because while calculating the sample statistic, we consider only the part of population. Every time we draw a sample from population, there is every possibility of getting different sample. Therefore, data from samples may vary from sample to sample and corresponding sample statistic may vary from sample to sample.
