Suppose we create a fixed effects model using the R command below. There are 7 individuals in the data set, and each individual has a score recorded at times 0, 5, and 10 (where 0, 5, 10 represents 0 weeks, 5 weeks, and 10 weeks.) lm( Score ~ Time + ID, data=BronlynsPretendData) The model output is below: Variable Estimate of coefficient p-value (intercept) 79 Less than 0.0001 time 2.0 Less than 0.0001 ID2 10 Less than 0.0001 ID3 -6 Less than 0.0001 ID4 0.9 0.79 ID5 6 Less than 0.0001 ID6 0.5 0.64 ID7 -4 Less than 0.0001 After we control for individual variability, every 4 weeks, the predicted score increases ________ points. (Do not round your answer: if your answer is not a whole number, please include a decimal place with your answer.)