For the data below, draw a scatter plot on each graph provided. Then use your graphing calculator to find the line of best fit and the correlation coefficient. Round all numbers to three decimal places. Line of Best Fit: Correlation Coefficient: What conclusions can you draw about the relationship between calories and fat? Line of Best Fit: Correlation Coefficient:What conclusions can you draw about the relationship between calories and sodium?If you are asked to report your opinion on which relationship is stronger: calories and fat, or calories and sodium, what would your opinion be? Why? **Nutritional Information Chart**This table provides a fictional overview of various food items and their respective nutritional content in terms of calories, fat content, and sodium levels.| **Food Item** | **Calories** | **Fat (g)** | **Sodium (mg)** ||--------------------|-------------|-------------|-----------------|| Ice Cream | 268 | 2 | 1042 || Peanut Butter | 303 | 5 | 921 || Turkey Sandwich | 260 | 3 | 250 || Hershey Bar | 300 | 3.5 | 970 || French Fries | 315 | 1 | 1120 || Pretzels | 160 | 2 | 350 || Chicken Soup | 200 | 3 | 450 || Grilled Chicken | 320 | 6 | 800 || Pizza | 420 | 3 | 1190 || Milk Shake | 290 | 5 | 570 || Taco | 285 | 3.5 | 1215 || Cheeseburger | 390 | 3.5 | 1160 || Yogurt | 140 | 0 | 520 || Potato Chips | 330 | 2.5 | 1120 || Carrot Sticks | 120 | 1 | 240 || Bagel | 180 | 3 | 650 |*Note: The data in the above chart is fictional and does not represent true nutritional information.* This chart is beneficial for educational purposes, offering a comparative look at the caloric, fat, and sodium content of popular food items.

Rewrite the given table in terms of Calories and Fat as shown below, Calories Fat (g) 268 2 303 5 260 3 300 3.5 315 1 160 2 200 3 320 6 420 3 290 5 285 3.5 390 3.5 140 0 330 2.5 120 1 180 3Use the excel spreadsheet to find the better fit for the model. Find the linear model for the given data as shown below, From the above screenshot, the value of R2=0.2502. Find the logarithmic model for the given data as shown below, From the above screenshot, the value of R2=0.3106.Find the Quadratic model for the given data as shown below, From the above screenshot, the value of R2=0.3888. Note that, the value of R2=1 then the given data is perfect fit for the data. From the above screenshots, in quadratic model the value of R2=0.3888 which is greater than other models. Therefore, the quadratic model y=-0.00007x2+0.0457x-3.9842 is the best fit for Calories and fat, and correlation coefficient is R2=0.3888.Fine the "Line of Best Fit" and "Correlation Coefficient" for Calories and Sodium as follows, Rewrite the given table in terms of Calories and Sodium as shown below, Calories Fat (g) 268 1042 303 921 260 250 300 970 315 1120 160 350 200 450 320 800 420 1190 290 570 285 1215 390 1160 140 520 330 1120 120 240 180 650 Use the excel spreadsheet to find the better fit for the model. Find the linear model for the given data as shown below, From the above screenshot, the value of R2=0.6182.Find the logarithmic model for the given data as shown below, From the above screenshot, the value of R2=0.6053.Find the Quadratic model for the given data as shown below, From the above screenshot, the value of R2=06193.Find the exponential model for the given data as shown below, From the above screenshot, the value of R2=0.5613. From the above screenshots, in quadratic model the value of R2=0.6193 which is greater than other models. Therefore, the quadratic model y=-0.0015x2+3.9716x-160.15 is the best fit for Calories and fat, and correlation coefficient is R2=0.6193.The correlation coefficient Calories and fat is R2=0.3888 and the correlation coefficient Calories and Sodium is R2=0.6193. Therefor, the relation between Calories and Sodium is stronger than relation between Calories and fat.