Question
In: Civil Engineering
Plot the original data and the regression “line” ************USING Matlab************. "Submit plot" USING MATLAB! USING MATLAB!...
Plot the original data and the regression “line” ************USING Matlab************. "Submit plot"
USING MATLAB! USING MATLAB! USING MATLAB! ONLY BY USING MATLAB!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
14.9 The concentration of E. coli bacteria in a swimming area is monitored after a storm:
t (hr) 4 8 12 16 20 24
c (CFU/100 mL) 1600 1320 1000 890 650 560
The time is measured in hours following the end of the storm and the unit CFU is a .colony forming unit.. Use this data to estimate
(a) the concentration at the end of the storm (t = 0) and
(b) the time at which the concentration will reach 200 CFU/100 mL. Note that your choice of model should
be consistent with the fact that negative concentrations are impossible and that the bacteria concentration always decreases with time. Plot the original data and the regression “line” using Matlab. Submit plot.
Solutions
Ally Wells answered 9 months agoRelated Solutions
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.) Then
use the regression equation to predict the value of y for each of
the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height : 772, 628, 518, 508, 496, 483,
y:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city. Height comma x 762 621 515 508 491 480...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
766766
620620
520520
508508
494494...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.) Then
use the regression equation to predict the value of y for each of
the given x-values, if meaningful. The number of hours 6 students
spent for a test and their scores on that test are shown below.
font size decreased by 1 font size increased by 1...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city. Height comma x 775 619 519 508 491 474...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The number of hours 6
students spent for a test and their scores on that test are shown
below.
Hours spent studying, x: 0, 1, 2, 4, 5, 6...
find the equation of the regression line for the given data. then construct a scatter plot...
find the equation of the regression line for the given
data. then construct a scatter plot if the data and draw a
regression line. then use the regression equation to predict the
value of y for each of the given x values m, if meaningful.
x= 778, 621, 519, 510, 494, 473
y= 51, 47, 44, 43, 39, 37
y=____x + _______
predict the value y for x= 499
"
" x= 642
"
" x= 802
"
" x=...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
Calories, x
160
180
120
120
80
190
(a)...
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