The linear model is y = 0.0009x + 3.708, where x = 2023 salary of Major League Baseball player in thousands and y = career WAR value. WAR stands for Wins Against Replacement is a complicated measurement evaluated differently for each defensive position that is an attempt to put a number to how much a player is a value to a team. The interval of 2023 salary data was 720 x 40000 thousand US dollars and the range of WAR values fell within the interval -0.7 y 39.3. R2 = 0.842 Explain for this model why someone should not use the model y = 0.0009x + 3.708 to predict WAR for salaries much higher than $40,000,000 or lower than $720,000