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Show work for everything Construct a scatterplot from the points (x, y): horizontal and vertical axes, and label it. Determine the best-fitting line (regression line)
Show work for everything
- Construct a scatterplot from the points (x, y): horizontal and vertical axes, and label it.
- Determine the best-fitting line (regression line) and put it on the graph. Provide the line's equation.
- Indicate the slope of the best-fitting line. Interpret the significance of the slope.
- What is the values of r2, the coefficient of determination, and r, the coefficient of correlation. Explain in detail. Positivity or negativity? Why? Is a line an appropriate curve to suit this data? What is the rationale, or why not? Is the linear relationship exceptionally robust, moderately robust, weak, or nonexistent?
- Select a value of interest and use the best-fitting line to estimate or predict. Display work
- Summarize any feature of the linear model project (subject, data, scatterplot, line, r, or estimate.) that you find especially significant or fascinating ( topic, data, scatterplot, line, or estimate).
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Cinanmon toast crunch | 4.1g | 164 |
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Apple jacks | 1g | 105 |
Trix | 1.2g | 123 |
Fruity pebbles | 1.6g | 161 |
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