18 results.
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Question in Julie's workspace
Find a regression equation given 12 months data on temperature and sales of a drink. Includes an interactive diagram for experimenting with fitting a regression line.
rebelmaths
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Question in Content created by Newcastle University
Moving averages, regression and seasonal adjustments.
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Question in Bill's workspace
The data is fitted by linear and quadratic regression. First, find a linear regression equation for the n data points, 20≤n≤35.
They then are shown that the quadratic regression is often a better fit as measured by SSE. Also users can experiment with fitting polynomials of higher degree.
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Question in TEAME's workspace
Find a regression equation given 12 months data on temperature and sales of a drink. Includes an interactive diagram for experimenting with fitting a regression line.
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Question in Bill's workspace
Find a regression equation.
Now includes a graph of the regression line and another interactive graph gives users the opportunity to move the regression line around. Could be used for allowing users to experiment with what they think the line should be and see how this compares with the calculated line.
Also includes an updated SSE to see how the sum of the squares of the residuals varies with the regression line.
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Question in Bill's workspace
Find a regression equation given 12 months data on temperature and sales of a drink. Includes an interactive diagram for experimenting with fitting a regression line.
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Question in Demos
Find a regression equation.
Now includes a graph of the regression line and another interactive graph gives users the opportunity to move the regression line around. Could be used for allowing users to experiment with what they think the line should be and see how this compares with the calculated line.
Also includes an updated SSE to see how the sum of the squares of the residuals varies with the regression line.
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Question in Bill's workspace
Find a regression equation.
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Question in Bill's workspace
Find a regression equation.
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Question in Content created by Newcastle University
Minitab was used to fit an AR(1) model to a stationary time series. Given the output answer the following questions about the model and use the model to make forecasts.
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Question in Content created by Newcastle University
Minitab was used to fit both an AR(1) model and an AR(2) to a stationary series. A table is given summarising the results obtained from Minitab. Choose the most appropriate model and make a forecast based on that model.
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Question in Content created by Newcastle University
Find a regression equation given 12 months data on temperature and sales of a drink.
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Question in Content created by Newcastle University
Asking users to interpret a minitab output to give the coefficients of a multiple regression together with a prediction based on the subsequent equation.
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Question in Content created by Newcastle University
Find a regression equation.
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Question in Content created by Newcastle University
Find a regression equation.
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Question in Content created by Newcastle University
Multiple correlation question. Given the correlation coefficent of Y with X1 is r01, the correlation coefficent of Y with X2 is r02 and the correlation coefficent of X1 with X2 is r12 then explain the proportion of variablity of Y. Also find the partial corr coeff between Y and X2 after fitting X1 and find how much of the remaining variability in Y is explained by X2 after fitting X1.
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Question in Content created by Newcastle University
Find a regression equation given 12 months data on temperature and sales of a drink.
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Question in Christian's workspace
Find a regression equation.
Now includes a graph of the regression line and another interactive graph gives users the opportunity to move the regression line around. Could be used for allowing users to experiment with what they think the line should be and see how this compares with the calculated line.