Question

In: Statistics and Probability

For these data, what is the unbiased estimate of the error variance? (Give a number.) x...

For these data, what is the unbiased estimate of the error 
variance?  (Give a number.)
x    y
77.5 45
80 73
78 43
78.5 61
77.5 52
83 56
83.5 70
81.5 70
75.5 53
69.5 51
70 39
73.5 55
77.5 55
79 57
80 68
79 73
76 57
76 51
75.5 55
79.5 56
78.5 72
82 73
71.5 69
70 38
68 50
66.5 37
69 43
70.5 42
63 25
64 31
64.5 31
65 32
66.5 35
67 32
66.5 34
67.5 35
75 41
75.5 51
71.5 34
63 19 
60 19
64 30
62.5 23 
63.5 35
73.5 29
68 55
77.5 56

Solutions

Expert Solution

Sol:

MSE from regression output is unbiased estimate of the error variance

In excel install analysis toolpak and then go to

Data>Data analysis>Regression you get

Output:

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.842883
R Square 0.710452
Adjusted R Square 0.704018
Standard Error 8.399174
Observations 47
ANOVA
df SS MS F Significance F
Regression 1 7789.339 7789.339 110.4148 1.08E-13
Residual 45 3174.576 70.54613
Total 46 10963.91
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -98.2417 13.88044 -7.07771 7.82E-09 -126.198 -70.2851
x 2.005686 0.190875 10.50785 1.08E-13 1.621244 2.390129

regression equation is

y=-98.2417+2.005686*x

MSE=70.54613

unbiased estimate of the error 
variance=70.54613

Related Solutions

. Explain what it means to say that the sample variance provides an unbiased estimate of...
. Explain what it means to say that the sample variance provides an unbiased estimate of the population variance. 5. (Using both Excel and SPSS) For the following scores: 3, 1, 1, 1 Find the mean. Find the variance (show your work). Find the standard deviation. 6. (Using both Excel and SPSS) For the following scores: 1, 0, 4, 1, 1, 5 Find the mean. Find the variance (show your work). Find the standard deviation.
1. X-bar is an unbiased estimator of µ because a. standard error of X-bar equals sigma/...
1. X-bar is an unbiased estimator of µ because a. standard error of X-bar equals sigma/ square root of n b. expected value of X-bar equals µ c. shape of distribution of X-bar is normal. d. Expected value of X-bar is greater than 1. 2. Suppose professor finds that for 16 randomly selected students the time needed to complete an assignment had a sample mean of 65 minutes and a sample standard deviation of 40 minutes. The 98% confidence interval...
Why is the Mean Square due to Error a better estimate of the population variance than...
Why is the Mean Square due to Error a better estimate of the population variance than the Mean Square due to Treatment? When is the Mean Square due to Treatment also a good estimate for the population variance? Why?
Show that OLS estimator of variance is an unbiased estimator?
Show that OLS estimator of variance is an unbiased estimator?
(a) What is the value of the standard error of the estimate?
Consider the data. xi 2 6 9 13 20 yi 6 19 10 25 23 (a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use α = 0.05. State the null and alternative hypotheses. H0: β1 = 0 Ha: β1 ≠ 0H0: β0 = 0 Ha: β0 ≠ 0    H0: β1 ≠ 0 Ha: β1 = 0H0: β0 ≠...
Show that ?̂??? is an unbiased estimator of minimum variance of parameter ? for a binomial...
Show that ?̂??? is an unbiased estimator of minimum variance of parameter ? for a binomial distribution with parameters ? (known) and ?.
The within-­groups estimate of variance is the estimate of the variance of the population of individuals...
The within-­groups estimate of variance is the estimate of the variance of the population of individuals based on the variation among the: Group of answer choices Scores in each of the actual groups studied Mean of the groups minus the mean of the scores of the actual groups Equal to the between-groups estimate of population variance Means of the groups studied
find the sample size needed to give a margin of error to estimate a proportion within...
find the sample size needed to give a margin of error to estimate a proportion within plus minus 2% within 99% confidence within 95% confidence within 90% confidence assume no prior knowledge about the population proportion p
Show that as the number of bootstrap samples B gets large, the oob error estimate for...
Show that as the number of bootstrap samples B gets large, the oob error estimate for a random forest approaches its N-fold CV error estimate, and that in the limit, the identity is exact.
An unbiased coin is tossed four times. Let the random variable X denote the greatest number...
An unbiased coin is tossed four times. Let the random variable X denote the greatest number of successive heads occurring in the four tosses (e.g. if HTHH occurs, then X = 2, but if TTHT occurs, then X = 1). Derive E(X) and Var(X). (ii) The random variable Y is the number of heads occurring in the four tosses. Find Cov(X,Y).
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT