SSE =Syy-(Sxy)2/Sxx= | 26,822.375 |
s2 =SSE/(n-2)= | 8940.7916 | |
std error σ = | =se =√s2= | 94.556 |
std error of slope =se(β1) =s/√Sxx= | 0.1177 |
for 95 % CI value of t= | 3.182 | |
margin of error E=t*std error = | 0.3747 | |
lower bound=b1+E= | 0.462 | |
Upper bound=b1+E= | 1.211 |
As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in...
As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in pounds per square inch (psi) ofa certain type of concrete. Complete parts (a) through (f) below. 7-Dy Strength (psi)x 33802620 3390 2300 3330 4070 4850 28-Day Strength (psi,y 4190 (a) Treating the 7-day strength as the explanatory variable, use technology to determine the estimates of Po and pl P 1753.9 (Round to one decimal place as needed.) P sb9707 (Round to four decimal places...
As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in pounds per square inch (psi) of a certain type of concrete. Complete parts (a) through (f) below. 7-Day Strength (psi), x 3340 3380 3330 2300 2480 28-Day Strength (psi), y 4630 5020 4850 4070 4120 (a) Treating the 7-day strength as the explanatory variable, x, use technology to determine the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing (Round to...
As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in pounds per square inch (psi) of a certain type of concrete. Complete parts (a) through (f) below. 7-Day Strength (psi), x 3340 3380 3330 2300 2480 28-Day Strength (psi), y 4630 5020 4850 4070 4120 (a) Treating the 7-day strength as the explanatory variable, x, use technology to determine the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing (Round to...
I need help with - What is the conclusion that can be drawn? - thank you! As concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in pounds per square inch (psi) of a certain type of concrete. 7-Day_Strength_(psi)_-_x 28-Day_Strength_(psi)_-_y 3390 5220 3340 4630 2300 4070 2480 4120 3380 5020 (a) Treating the 7-day strength as the explanatory variable, x, use technology to determine the estimates of β0 and β1. β0≈b0= 1981.5 (Round to one...
As Concrete cures, it gains strength. The following data represent the 7-day and 28-day strength in psi of a certain type of concrete. Conduct regression analysis for the following data and comment on the coefficient of determination value. Calculate the 28th day strength for the concrete with seventh day strength of 4 psi 7-day 28-day strength, strength, X y 2,300 4,070 3,390 5,220 2,430 4,640 2,890 4,620 3,330 4,850 2,480 4,120 3,380 5,020 2,660 4,890 2,620 4,190 3,340 4,630
A researcher wants to determine a model to predict the 28-day strength of a concrete mixture. The following data represent the slump (a measure of concrete uniformity in inches) x1, 7-day strength (in pounds per square inch, or psi) x2, and the 28-day strength (in psi) y of a certain type of concrete. Slump measure of the uniformity of the concrete, with a higher slump indicating a less uniform mixture. Complete parts (a) through (j). 3.75 4.5 2.5 4 3...
am m on than one data point that value is the mean 3. For the data set shown below, complete parts (a) through (d) below x 3 4 5 7 80 y 5 7 6 13 15 (a) Find the estimates of Bo and B, Bombo (Round to three decimal places as needed.) P, by (Round to three decimal places as needed.) (b) Compute the standard error, the point estimate for a (Round to four decimal places as needed.) (c)...
The data in the accompanying table represent the rate of return of a certain company stock for 11 months, compared with the rate of return of a certain index of 500 stocks. Assuming the residuals are normally distributed, test whether linear relation exist between the rate of return of the index, x, And the rate of return for the company stock, y, at the a=0.10 level of significance. in Month Apr-18 May-18 Jun-18 Jul-18 Aug-18 Sept-18 Oct-18 Nov-18 Dec-18 Jan-19...
Please solve for (a)-(d) below. The data in the accompanying table represent the rate of return of a certain company stock for 11 months, compared with the rate of return of a certain index of 500 stocks. Both are in percent. Complete parts (a) through Click the icon to view the data table. (a) Treating the rate of return of the index as the explanatory variable, x, use technology to determine the estimates of Bo and B1 The estimate of...
A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 5 children and measures their height and head circumference. The data are summarized below. Complete parts (a) through (f) below. Height (inches), x Head Circumference (inches), y| 26.5 25.5 25 27 260 17.5 17.3 17.1 16.9 17.3 (a) Treating height as the explanatory variable, x, use technology to determine the estimates of Po and B,. Bo bo = B, b,...