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