Find the least squares regression line for temperature (x) and number of ice cream cones sold per hour (y). 65 70 75 80 85 90 95 100 105 8 10 11 13 12 16 19 22 23 Oŷ = 2.469x+48.240 Oŷ = 0.383x-17.694 O ŷ = -125.376x+31.656 Oû = 0,4x-18

Find the least squares regression line for temperature (x) and number of ice cream cones sold per hour (y). 65 70 75 80 85 90 95 100 105 8 10 11 13 12 16 19 22 23 Oŷ = 2.469x+48.240 Oŷ = 0.383x-17.694 O ŷ = -125.376x+31.656 Oû = 0,4x-18

Elementary Linear Algebra (MindTap Course List)

8th Edition

ISBN:9781305658004

Author:Ron Larson

Publisher:Ron Larson

Chapter5: Inner Product Spaces

Section5.CR: Review Exercises

Problem 62CR

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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

100%

Find the least squares regression line for temperature (x) and number of ice cream
cones sold per hour (y).
65
70
75
80
85
90
95
100
105
y
8
10
11
13
12
16
19
22
23
Oŷ = 2.469x+48.240
ý = 0.383x-17.694
Oŷ = -125.376x+31.656
Oŷ = 0.4x-18

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