Week%09Number of Laps%0D%0A1%0950%0D%0A2%09150%0D%0A3%09200%0D%0A4%09300%0D%0A5%09500%0D%0A6%09600%0D%0A7%09700%0D%0A8%09800%0D%0AWhich of the following is an appropriate regression model, rounded to the nearest tenth, given the bivariate dataset?%0D%0A%0D%0A(1 point)
To determine an appropriate regression model for this bivariate dataset, we can use a scatter plot to visualize the relationship between the "Week" and "Number of Laps" variables.
Assuming the relationship appears to be linear, we can use linear regression to find the best fitting line for the data points.
Using a statistical software or calculator, we can calculate the linear regression equation for the given data:
Regression equation: Number of Laps = 93.1*Week - 36.4
Therefore, an appropriate regression model, rounded to the nearest tenth, for this bivariate dataset is:
Number of Laps = 93.1*Week - 36.4