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
Due Fri 04/10/2020 11:59 pm Show Intro/Instructions 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 Get help: Video Points possible: 7 This is attempt 1 of 3. ote 5 ⓇW 9
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:...
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)
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
5 y - 2 1 4 0-4 Use the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. b. Graph the regression equation and the data points. a. Find the regression equation for the data points. y=+* (Round to two decimal places as needed.) 1 3 0 5 5 NO у 2 Use the given data to do the following. a. Find the regression equation for the data points. b. Graph...
Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 8 5 8 7 13 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places): y = ? + ?x where y = demand and x = period
The regression line that best fits the following data is Y = 0.43X + 3.03. Use the regression line to predict the value of Y when X = 6. X Y 2 4 5 5 7 6 9 7 a. 6.23 b. 4.32 c. 5.61 d. 3.45
4. Given five data points: (x, y, z) = (0,0,3), (0,1,2), (1,0,3), (1,1,5), (1, 2, 6), use the normal equation method to find the 3D plane of the form z = do + 01x + a2y that best fits the given data (in least squares sense). You may use MATLAB to verify your solution.
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Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 5 14 13.31 13 13.66 12 13.74 10 13.05 9 12.30 4 4.31 6 8.34 8 11.25 11 13.54 7 9.94 y 6.46 = 3.00 + 0.80 (Round to two decimal places as needed.) The data show the chest size and weight of several bears. Find the...