from above sample mean =17.267
and sample variance =14.920
Y | Yhat | |Y-Yhat| | (Y-Yhat)^2 |
10.200 | 9.5 | 0.7 | 0.49 |
15.000 | 15.5 | 0.5 | 0.25 |
16.100 | 15 | 1.1 | 1.21 |
15.300 | 16 | 0.7 | 0.49 |
17.000 | 17.7 | 0.7 | 0.49 |
18.300 | 18 | 0.3 | 0.09 |
19.400 | 20 | 0.6 | 0.36 |
20.100 | 22 | 1.9 | 3.61 |
24.000 | 21 | 3 | 9 |
average | 1.0556 | 1.7767 |
from above MAD =1.0556
and MSE =1.7767
6. Observed and predicted values of a variable Y based on a sample of size n...
Given a list of predicted values and a list of their corresponding observed values, complete the function FilterOutliers that computes the error of the data, removes outliers, and re-computes the error. The input arguments: • predicted: A double precision 10 array of size n containing the predicted values. . observed: A double precision 1D array of size n containing the observed values • threshold: A double precision positive scalar that determines if an observation is an outlier. The output arguments:...
Dependent Variable: Y $1000 fire damage Analysis of Variance Sum of Mean Source DF Squares Square F Value Pro Model 1 841.76636 841.76636 156.886 0.0001 Error 13 69.75098 5.36546 Total(Adjusted) 14 911.51733 Root MSE 2.31635 R-square 0.9235 Dep Mean 26.41333 Adj R-sq 0.9176 C.V. 8.76961 Parameter Estimates Parameter Standard T for H0: Variable Estimate Error Parameter=0 Prob > |T| INTERCEPT 10.277929 1.42027781 7.237 0.0001 X 4.919331 0.39274775 12.525 0.0001 Dep Actual Predicted 95% LCL 95% UCL 95% LCL 95% Obs ...
can u clearly show me how to find a sample size (N) , A2, and can you also tell me why we are using an X Chart? Problem 1 A restaurant wants to control kitchen preparation time of dinner meals using an X chart. The process standard deviation is unknown. Each evening a manager takes a random sample of 14 dinner orders and measures and records their kitchen preparation time. Create an X Chart using data in the table below...
The accompanying data file contains 20 observations for t and yt. Actual series are plotted along with the superimposed linear and exponential trends. t y t y t y t y 1 1.91 6 4.93 11 5.96 16 15.58 2 3.57 7 6.78 12 9.02 17 12.33 3 5.83 8 4.58 13 9.52 18 13.95 4 5.39 9 7.19 14 14.02 19 15.63 5 2.78 10 8.81 15 14.57 20 19.77 The accompanying data file contains 20 observations for tand...
PROBLEM 1: Assume you have a random sample of Y's of size n from the model Y = Bote where Bo is an unknown parameter and the error e has zero mean and variance o2. (i) What is the interpretation of B.? (ii) Compute the OLS estimator of Bo. (ii) Find the mean and variance of the OLS estimator. (iii) What is the coefficient of determination in this model?
Simulate n values of an exponential random variable X with parameter λ (of your choice), and compute the sample mean i, sample median m, sample standard deviation s. Plot these quantities as functions of n (on three separate plots). Do x, m, and s converge to any limit values, as n-oo? What are those values and how are they related? Estimate the variance of both x and m for a particular value of n, such as n 100 (by generating,...
Below are the values for two variables x and y obtained from a sample of size 5. We want to build a regression equation based the sample data. 18 25 10 30 46 15 18 15 The x and y data are sample data from the population of X and Y to compute b1 as an estimate of the population slope parameter β1. The sample statistic b1 is the estimator of the population parameter β1. The estimated measure of dispersion...
QUESTION 2 Following scatter plot represents a sample of paired X and Y values. Which of the listed values of the linear correlation coefficient r is most likely to represent the given scater plor? r= -0.711 r= 0.667 r= 0.099 r= -0.018 and submit. Click SSare All Anscers to suce all ansers 13 14 Find the 99% confidence interval for the mean time it takes for conducting a job interview for a position of a retail associate in a supermarket...
Question 3 [25] , Yn denote a random sample of size n from a Let Y, Y2, population with an exponential distribution whose density is given by y > 0 if o, otherwise -E70 cumulative distribution function f(y) L ..,Y} denotes the smallest order statistics, show that Y1) = min{Y1, =nYa) 3.1 show that = nY1) is an unbiased estimator for 0. /12/ /13/ 3.2 find the mean square error for MSE(e). 2 f-llays Iat-k)-at 1-P Question 4[25] 4.1 Distinguish...
10. Based on a random sample of size 7 from a normal distribution with mean y, a confidence interval is constructed for y. The sample standard deviation is calculated as 5.4763. Let to be the critical value of a t random variable with v degrees of freedom. The following table lists values of ta for specific combinations of a and v: v=6 v = 7 a=0.1 a = 0.05 a= 0.025 1.440 1.943 2 .447 1.4151.8952.365 If we want to...