#5 1) 1,376.6 feet The scatter plot shows the elevation of a hiker above sea level during a hike. The trend line passes through points (30, 1,120) and (75, 1640). If the hiker starts at 683 feet above sea level and 4) 1,268.8 feet maintains the same rate, how far above sea level 2) 693.3 feet 3) 1,478.8 feet will she be after one hour? 2500 2000 1500 1000 500 30 60 90 120. TIME AFTER STARTING (MIN) ELEVATION ABOVE SEA LEVEL (FEET)
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.
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1) 1,376.6 feet
#5
The scatter plot shows the elevation of a hiker
above sea level during a hike. The trend line
passes through points (30, 1,120) and (75, 1640).
If the hiker starts at 683 feet above sea level and 4) 1,268.8 feet
maintains the same rate, how far above sea level
2) 693.3 feet
3) 1,478.8 feet
will she be after one hour?
2500
2000
1500
1000
500
60
90
TIME AFTER STARTING (MIN)
|120
30
up
%
&
ELEVATION ABOVE SEA LEVEL (FEET)"
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