A data scientist works for an online television platform. They want to know what makes a hit television series, and have access to the data shown below. Show Genre Number of Episodes Episode Duration Cost Per Episode Total Viewers Windswept Comedy 18 22 minutes 315093 178938 Open Doors Drama 6 42 minutes 290109 125381 Interplanetary Science Fiction 15 42 minutes 1352209 450385 Cold Target Crime 38 42 minutes 502402 212349 ... The data scientist performs a linear regression. They use the number of episodes and the cost per episode as the independent variables, and total viewers as the dependent variable. Their model has a coefficient of determination (R squared) of 0.47. What does this tell them? The model will predict the number of viewers accurately approximately 50% of the time. Press 1 There is approximately a 50% chance that the model results are due to chance. Press 2 If they double the number of episodes or the cost per episode, the amount of viewers will increase by 50%. Press 3 The model explains approximately half of the variance in the total number of viewers. Press 4