sr | x | y | (x-xbar)^2 | (y-ybar)^2 | (x-xbar)*(y-ybar) |
1 | 1 | 167 | 9 | 1536891.5 | 3719.142857 |
2 | 2 | 278 | 4 | 1273995.9 | 2257.428571 |
3 | 3 | 468 | 1 | 881184.51 | 938.7142857 |
4 | 4 | 783 | 0 | 389019.51 | 0 |
5 | 5 | 1314 | 1 | 8595.9388 | -92.71428571 |
6 | 6 | 1927 | 4 | 270697.22 | 1040.571429 |
7 | 7 | 4910 | 9 | 12273011 | 10509.85714 |
sum | 28 | 9847 | 28 | 16633395 | 18373 |
mean | 4 | 1406.714286 | SXX | SYY | Sxy |
slope=sxy/sxx | 656.1785714 | 34121.286 | |||
intercept=ybar-(slope*xbar) | -1218 | 32903.286 |
Regression equation of line is
y^ = 656.1782*x - 1218
scatter plot and regression line is
option A) is correct
@ 0 Time and Bacteria Count 0 Hours 8 Ours Number of hours, x 2 3...
Score:0 ol 1 pt 12 of 15 (12 complete) HWScore: 80%, 120115, 9.2.37-T E Question Hep The accompanying data show the number of bacteria present ater a centain number of hours. Find the equation of the regression line lor the data. Then construct a scatter plot of (c.y) and sketch the regression line with it. sB Click the icon to wicew the table of numbers ef hours and bacteria The equation of the rogression line is y-k Round to two...
An exponential equation is a nonlinear regression equation of the form y= ab^x. Use technology to find and grab the exponential equation for the accompanying data, which shows the number of bacteria present after a certain number of hours. Include the original data in the graph. Note that this model can also be found by solving the equation log y= mx + b for y. Number of hours, x: 1 2 3 4 5 6 7 Number of bacteria, y:...
can someone help me with this i am stuck with all these questions i dont get it Here are summary statistics for randomly selected weights of newborn girts: n = 155, X = 33.6 hg, 8 = 6.5 hg. Construct a confidence interval estimate of the mean. Use a 99% confidence level. Are these results very different from the confidence interval 31.3 hg <u <35.1 hg with only 13 sample values, x = 33.2 hg, and s = 2.3 hg?...
Use the data shown in the table that shows the number of bacteria present after a certain number of hours. Replace each y-value in the table with its logarithm, log y. Find the equation of the regression line for the transformed data. Then construct a scatterplot of left parenthesis x comma log y right parenthesis and sketch the regression line with it. What do you notice? Number of hours comma x 1 2 3 4 5 6 7 Number of...