To answer these questions, I would need to analyze the scatter plot and find the line of best fit. However, since I cannot see the scatter plot, I can guide you through the steps to approximate the equation of the line of best fit and use it to make predictions.

Part (a): Writing an approximate equation of the line of best fit

1. Identify Two Points on the Line of Best Fit: Look for two points that the line of best fit goes through or is very close to. These points can help in finding the slope and the y-intercept.

   • Slope (m): The slope is the change in y divided by the change in x: $m = \frac{y_2 - y_1}{x_2 - x_1}$

   • Y-Intercept (b): The y-intercept is the value of y when x = 0. You can find this by looking at the point where the line intersects the y-axis.

2. Equation of the Line: Once you have the slope (m) and the y-intercept (b), the equation of the line will be: $y = mx + b$ Round the slope and y-intercept to the nearest hundredth.

Part (b): Predicting the time spent exercising

Once you have the equation of the line from part (a), you can use it to predict the time spent exercising (y) for a student who spends 4 hours texting (x = 4).

1. Substitute x = 4 into the equation: $y = m(4) + b$ Then calculate the value of y to predict the time spent exercising.

Let me know if you'd like further guidance, or if you have any numbers you can share from the plot for more specific help!