6. Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of = 0.05. 29.6 29.6 32.1 32.4 28.1 Shoe Print (cm) Foot Length (cm) Height (cm) 24.7 24.6 26.8 25.6 25.0 175.8 173.2 182.6 177.3 171.3 The test statistic is t = (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is (3)- the significance level, there (4) heights of males. sufficient evidence to support the claim that there is a linear correlation between shoe print lengths and Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? O A. No, because shoe print length and height do not appear to be correlated. O B. No, because shoe print length and height appear to be correlated. O C. Yes, because shoe print length and height appear to be correlated. D. Yes, because shoe print length and height do not appear to be correlated.
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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