3. A convenience store manager notices that sales of soft drinks are higher on hotter days, so he assembles the data in the table. Number Temperature of cans sold 340 335 410 460 High (a) Make a scatter plot of the data. (°F) 55 58 64 68 70 450 75 610 735 780 80 84 (b) Find and graph a linear regression equation that models the data. Equation: (c) Use the model to predict soft-drink sales if the temperature is 95°F. (d) What does the model predict for the temperature if the number of cans sold was only 95?

3. A convenience store manager notices that sales of soft drinks are higher on hotter days, so he assembles the data in the table. Number Temperature of cans sold 340 335 410 460 High (a) Make a scatter plot of the data. (°F) 55 58 64 68 70 450 75 610 735 780 80 84 (b) Find and graph a linear regression equation that models the data. Equation: (c) Use the model to predict soft-drink sales if the temperature is 95°F. (d) What does the model predict for the temperature if the number of cans sold was only 95?

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

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3. A convenience store manager notices that sales of soft drinks are higher on hotter
days, so he assembles the data in the table.
Number
Temperature of cans
sold
340
335
410
460
High
(a) Make a scatter plot of the data.
(°F)
55
58
64
68
70
450
75
610
735
780
80
84
(b) Find and graph a linear regression equation that models the data.
Equation:
(c) Use the model to predict soft-drink sales if the temperature is 95°F.
(d) What does the model predict for the temperature if the number of cans sold was only
95?

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