Can I get sum help?? 50 point Scatter plots, curves and line of best fit

1. Explain why a curve is a better fit in representing data of an exponential function

2. Residue is calculated by subtracting the predicted value from the actual value(A-P), what does a low residue say about the prediction model?

3. Given the values (0. 100), (1, 200), (2, 400) and (3, 800), draw a scatter plot for this data. Draw a line of best fit for the data. Does the scatter plot show a linear or exponential function? Explain.

Well all you have to do is :

Scatter plots, curves and line of best fit

1. Explain why a curve is a better fit in representing data of an exponential function

2. Residue is calculated by subtracting the predicted value from the actual value(A-P), what does a low residue say about the prediction model?

3. Given the values (0. 100), (1, 200), (2, 400) and (3, 800), draw a scatter plot for this data. Draw a line of best fit for the data. Does the scatter plot show a linear or exponential function? Explain.

Step-by-step explanation:

25 questions , because they start with 100.  

350-100=250 .  

. 250/10=25

step-by-step explanation:

first take off 100, then what x 10 = 250? that is your answer. (25)

-81 -56 -27 0 81

step-by-step explanation: