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:

  n=   0.0000 - 0.3750 i  

  n=   0.0000 + 0.3750 i

step-by-step explanation:

one of these should be correct