x 1 2 3 4 5 6 y 1007 1799 2872 5027 8022 13619 Use linear...
| x | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| y | 1007 | 1799 | 2872 | 5027 | 8022 | 13619 |
Use linear regression to find the equation for the linear
function that best fits this data. Round to two decimal
places.
y^( y-hat) = ?
Hint: Enter the data into L1 And L2 then in STAT CALC select 8:LinReg(a+bx)
Homework Answers
Sum of X = 21
Sum of Y = 32346
Mean X = 3.5
Mean Y = 5391
Sum of squares (SSX) = 17.5
Sum of products (SP) = 41942
Regression Equation = ŷ = bX + a
b = SP/SSX = 41942/17.5 =
2396.69
a = MY - bMX = 5391 -
(2396.69*3.5) = -2997.4
ŷ = 2396.69X - 2997.4
X 1 2 3 3 708 4 707 687 654 5 720 y 6 690 Use...
X 1 2 3 3 708 4 707 687 654 5 720 y 6 690 Use exponential regression to find an exponential function that best fits this data. f(x)= Preview Use linear regression to find an linear function that best fits this data. g(x) = Preview Of these two, which equation best fits the data? Exponential Linear
Use linear regression to find the equation for the linear function that best fits this data....
Use linear regression to find the equation for the linear
function that best fits this data. Round both numbers to two
decimal places. Write your final answer in a form of an
equation....
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Last two photos are responses to choose for questions #1$#4 Bivariate data obtained for the paired...
Last two photos are responses to choose for questions
#1$#4
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in tho scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y25.35+1.10x In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from...
Bivariate data obtained for the paired variables x and y are shown below, in the table...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in tho scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y25.35+1.10x In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation Sample data Calculations 215.4 210.7 237.7 251.7...
Predicted concentrations of atmospheric carbon dioxide (CO2) in parts per million (ppm) are shown...
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Bivariate data obtained for the paired variables x and y are shown below, in the table...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is ý = 0.94 +0.893. In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values ♡ predicted from the regression equation. Sample data Calculations y...
X 1 2 3 3 708 4 707 687 654 5 720 y 6 690 Use exponential regression to find an exponential function that best fits this data. f(x)= Preview Use linear regression to find an linear function that best fits this data. g(x) = Preview Of these two, which equation best fits the data? Exponential Linear
Use linear regression to find the equation for the linear
function that best fits this data. Round both numbers to two
decimal places. Write your final answer in a form of an
equation....
...y = mx+b
125 | 136 172 | 194
1 2 3 4 1101 | 1874 | 2981 | 50288479 | 13883 y Use regression to find an exponential equation that best fits the data above. The equation has form y = abt where: a= b=
Last two photos are responses to choose for questions
#1$#4
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in tho scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y25.35+1.10x In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in tho scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y25.35+1.10x In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values y predicted from the regression equation Sample data Calculations 215.4 210.7 237.7 251.7...
Predicted concentrations of atmospheric carbon dioxide (CO2) in parts per million (ppm) are shown in the table below. (These concentrations assume that current trends continue.) 2000 2050 2100 2150 2200 CO (ppm) 364 467 600 769 987 Year a) Use the graphing calculator to make a scatterplot of the data. Let x represent years after 2000. Does the data follow a linear trend? Explain. b) The graphing calculator allows you to obtain different regression models for the given data (Stat>...
Bivariate data obtained for the paired variables x and y are shown below, in the table labelled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is ý = 0.94 +0.893. In the "Calculations" table are calculations involving the observed y values, the mean y of these values, and the values ♡ predicted from the regression equation. Sample data Calculations y...
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