Final answer:
The dependent variable is the age of a person, the least squares estimated line can be computed using the formulas for slope and y-intercept, and the coefficient of determination measures the strength of the relationship between the variables.
Step-by-step explanation:
In this scenario, the independent variable is the number of hours of television watched in a day and the dependent variable is the age of a person.
To compute the least squares estimated line, you need to find the equation of the line that best fits the data. The equation is in the form ŷ = a + bx, where ŷ is the predicted value, a is the y-intercept, b is the slope, x is the independent variable, and y is the dependent variable. To find the least squares estimated line, you need to use the formulae for calculating the slope and the y-intercept.
The coefficient of determination, also known as R-squared, measures the proportion of the variance in the dependent variable that can be explained by the independent variable. It represents the strength of the relationship between the variables. A value close to 1 indicates a strong relationship, while a value close to 0 indicates a weak relationship.