Sketch a plot of predicted value Yˆ vs. age for people with and without toxemia separately based the following reported model: Yhat = −3 + 10Itoxemia + 4xage − 1Itoxemiaxage
Here Y is the response variable, Itoxemia is an indicator variable equaling 1 when an individual has toxemia, and xage is the age of an individual. The age range of individuals is in the interval (0,100).
The equation can be written as y = -3 + 10x1 + 4x2 + x1*x2
with the lack of data it is really tough to come up with a concrete proof hence, with specific dataset and exact values one can easily estimate and visualise this multiple regression best fit line
despite the discrepencies i have tried to make a plot using the beta values of the multiple regression line, if it could be better if the data for both the variables were available in a table, neverthless find attached regression plane for such types of regression lines.and contour plots for visualising in 3 dimesions. It could be better explained if the dataset is provided
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