f the alpha level is changed from a=.05 to a=.01, what happens to the boundaries for the critical region?

1. Model 1: OLS, using observations 1-706 Dependent variable: RST   Coefficient Std. Error t-ratio p-value   const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 ***   Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357                                     (38.9124) (0.0167403)   Question? could you please help with this question below. 3) By observing the GRETL output in Part (1) above, provide a detailed explanation of the coefficient of determination. Based on your analysis, is this a good model? Why or why not?

Show step by step   1 Simulate the failure times of 100 units randomly selected from a Weibull distributionwith characteristic life θ = 100 and shape parameter α = 3. Plot the histogram ofthese 100 data points and comment on this histogram. 2. Suppose the data of the last question came from a life testing but the test was stoppedat the 50-th failure. Re-organize the data set and re-plot the histogram. Compare thisplot with the previous plot and comment on these plots.   Show step by step

imagine a large class where nearly everyone scores between 83.84%, with hardly any dispersion beyond this narrow range (so it would appear to have a very narrow peak).  How would your describe this distribution of data in terms of kurtosis?

In a certain article, laser therapy was discussed as a useful alternative to drugs in pain management of chronically ill patients. To measure pain threshold, a machine was used that delivered low-voltage direct current to different parts of the body (wrist, neck, and back). The machine measured current in milliamperes (mA). The pretreatment experimental group in the study had an average threshold of pain (pain was first detectable) at u = 3.30 mA with standard deviation o = 1.23 mA. Assume that the distribution of threshold pain, measured in milliamperes, is symmetric and more or less mound-shaped. (Round your answers to two decimal places.) (a) Use the empirical rule to estimate a range of milliamperes centered about the mean in which about 68% of the experimental group will have a threshold of pain from mA to (b) Use the empirical rule to estimate a range of milliamperes centered about the mean in which about 95% of the experimental group will have a threshold of pain from mA to mA

You are performing a two-tailed test.If α=.002α=.002, find the positive critical value, to three decimal places.zα/2

So, if the chi-square is 4.29 and the critical value is 5.99. Do you accept or reject the Ho?

Find the two-tailed U-table value when n1 = 5, n2 = 6, and alpha = 0.05.

Refer to the accompanying data display that results from a sample of airport data speeds in Mbps. Complete parts​ (a) through​ (c) below.   . TInterval ​(13.046,22.15) x=17.598 Sx=16.01712719 n=50 a. What is the number of degrees of freedom that should be used for finding the critical value tα/2​?   df=__ ​(Type a whole​ number.) b. Find the critical value tα/2corresponding to a​ 95% confidence level.   tα/2= ​(Round to two decimal places as​ needed.) c. Give a brief general description of the number of degrees of freedom.     A. The number of degrees of freedom for a collection of sample data is the number of​ unique, non-repeated sample values.   B. The number of degrees of freedom for a collection of sample data is the number of sample values that are determined after certain restrictions have been imposed on all data values.   C. The number of degrees of freedom for a collection of sample data is the number of sample values that can vary…