f. The equation of the linear regression line is:y =+& (Please showyour answers to two decimal places)g.Use the model to predict the weight of a womanwho spends 58 minutes on the phone.Weight =(Please round your answerto the nearest whole number.) ### Understanding the Relationship Between Phone Usage and Weight**Question:**What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time spent on the phone and the corresponding weight for 7 women are shown in the table below.| **Time (minutes)** | 31 | 51 | 24 | 22 | 83 | 54 | 62 ||--------------------|----|----|----|----|----|----|----|| **Weight (pounds)** | 111 | 130 | 121 | 120 | 155 | 119 | 132 |**Explanation:**This data can be used to analyze if there is any correlation between how long a woman spends on the phone and her weight. One common method to evaluate such data is to plot the values on a scatter plot. Each data point on the scatter plot would represent one of the women, with the x-axis corresponding to the number of minutes spent on the phone, and the y-axis representing the weight in pounds.**Possible analyses could include:**1. *Calculating the correlation coefficient:* This statistical measure can help determine if there is a positive, negative, or no correlation between the two variables.2. *Creating a regression line:* A line of best fit can help visualize any potential trend or linear relationship between phone usage and weight.3. *Identifying outliers:* Observing any data points that do not fit the overall trend can provide further insights.Through these methods, we can gain a better understanding of whether or how phone usage and weight may be related for these individuals.

(f) Use EXCEL to determine the regression equation. EXCEL procedure: Go to EXCEL Go to…

he equation of the linear regression line is: y = + & (Please show your answers to two decimal places) g. Use the model to predict the weight of a woman who spends 58 minutes on the phone. Weight = (Please round your answer to the nearest whole number.)

he equation of the linear regression line is: y = + & (Please show your answers to two decimal places) g. Use the model to predict the weight of a woman who spends 58 minutes on the phone. Weight = (Please round your answer to the nearest whole number.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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