QUESTION IMAGE
Question
question #9 create a scatterplot of the following data set. then, determine whether a quadratic regression equation would be an appropriate fit to the data.
| x | 11 | 15 | 16 | 19 | 22 | 25 |
| y | 57 | 69 | 71 | 83 | 81 | 91 |
yes
no, because the scatterplot takes the shape of a straight line, a quadratic regression equation would not be an appropriate fit to the data.
no, because the scatterplot takes the shape of a parabola, a quadratic equation would not be an appropriate fit to the data.
no, because the scatterplot shows no obvious pattern.
Step1: Plot data points
Plot the points \((11,57)\), \((15,69)\), \((16,71)\), \((19,83)\), \((22,81)\), \((25,91)\) on a coordinate - plane.
Step2: Analyze the pattern
Visually inspect the scatter - plot. As \(x\) increases, \(y\) generally increases in a non - linear way, but not in a parabolic (quadratic) shape. The points seem to follow a more linear trend. A quadratic regression equation is appropriate when the data has a parabolic (U - shaped or inverted U - shaped) pattern. Since the scatterplot takes the shape of a straight line, a quadratic regression equation would not be an appropriate fit to the data.
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No, because the scatterplot takes the shape of a straight line, a quadratic regression equation would not be an appropriate fit to the data.