Question
Show work for everything : linear model 1. Construct a scatterplot from the points (x, y) horizontal and vertical axes, and label it. 2. Determine
Show work for everything : linear model
1. Construct a scatterplot from the points (x, y) horizontal and vertical axes, and label it.
2. Determine the best-fitting line (regression line) and put it on the graph. Provide the line's equation.
3. Indicate the slope of the best-fitting line. Interpret the significance of the slope.
4. 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?
5. Select a value of interest and use the best-fitting line to estimate or predict. Display work
6. 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).
Portion size of 1 cup
cereal brand | Total Fat | Calorie Total Per Serving |
Cap'n crunch | 1.3g | 126 |
Cinanmon toast crunch | 4.1g | 164 |
Cocoa puffs | 1.9g | 138 |
Honey nut cherios | 1.9g | 139 |
Lucky charms | 1.8g | 137 |
Apple jacks | 1g | 105 |
Trix | 1.2g | 123 |
Fruity pebbles | 1.6g | 161 |
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