The table gives the average weights in kg of girls from birth to age 10 (a) make a scatter plot of the data, draw a line of best fit, and then find the equation of the line of best fit. show and explain your work. (b) describe what the slope of the line of best fit represents. (c) use the equation to predict the average weight in kg of 14-year-old girls. show your work.

(a) Make a scatter plot of the data using online calculator. The graph contains all points from the table (green points).

As you can see these points lie nearly on the same line. The equation of this line is y=2.5x+5.5 and the graph is shown as black line. Here variable x represents age and variable y represents weight.

(b) The slope of this line is m=2.5. It shows the average rate of change of the linear function or simply the growth in weight after one year spent.

(c) When you have to predict the average weight in kg of 14-year-old girls, then x=14 and

y=2.5·14+5.5=35+5.5=40.5 kg

a) one student is chosen from classroom a, then a student is chosen from classroom b.  

step-by-step explanation:

independent events are ones in which the probability of one event does not affect the probability of the second event.

one student is chosen from classroom a; this does not affect the chances of choosing a student from classroom b.   this makes these independent events.

when one card is chosen from a standard deck and then set aside before a second card is chosen, the probability of the second card being chosen changes.   this makes them dependent events.

when one student is chosen from classroom a and then a second student is chosen from classroom a, the probability of choosing the second student changes.   this makes them dependent events.

when a letter is chosen from the alphabet and then a second letter is chosen, the probability of choosing the second letter changes.   this makes them dependent events.