Which predictive analytics technique predicts the level of advertising expenditures based on past advertising expenditures?

In this problem, we are looking at how advertising expenses (Y) depend on annual turnover (X) in a specific area. The coefficient of determination, which is a measure of how well the explanatory variable (annual turnover) predicts the dependent variable (advertising expenses), is 0.84. This means that 84% of the variation in advertising expenses can be explained by annual turnover. The Fisher statistic of 105 is another measure used in regression analysis to test the overall significance of the relationship between the variables. In this case, the high value of 105 indicates that the relationship between advertising expenses and annual turnover is statistically significant. To determine the volume of the collection based on these indicators, we would need more information or context about the specific formula or method used in this analysis.

Steven, a marketing manager, wants to budget the advertising for a new product launch. He is trying to determine the amount of money that the company can afford to spend on advertising. Which criterion of decision making is he focusing on?

What is predictive analytics?

Regression: Simple Linear # Dataset: advertising.csv# Apply Data pre-processing (Label Encoding , Data Transformation….) # techniques if necessary.# Explore whether Radio advertising spending can predict the number# of sales for the product. Also display the regression results and plot the # regression line

In order to analyze sales as a function of advertising expenses, the sales manager developed a simple regression model. The model included the following equation, which was based on 32 monthly observations of sales and advertising expenses with a related coefficient of determination of .90.Sales = $10,000 + (2.5 × Advertising expenses)If the advertising expenses in 1 month amounted to $1,000, the related point estimate of sales would be