Final answer:
An R function to predict sales from a TV advertising budget can be created using the linear regression model provided. You simply insert the desired day into the function to get the predicted sales for that day.
Step-by-step explanation:
To predict sales given a TV advertising budget value, an R function based on the provided linear regression model (ŷ = 101.32 + 2.48x) can be written. Here, we assumed ŷ represents the sales in thousands of dollars, and x is the day.
R Function to Predict Sales
The R function would look like this:
predict_sales <- function(day) {
estimated_sales <- 101.32 + 2.48 * day
return(estimated_sales)
}
To predict the sales on day 60, you would use this function as follows:
predict_sales(60)
Similarly, to predict the sales on day 90:
predict_sales(90)
This function will return the predicted sales values for these days based on the linear regression model.