OSS Foot Length and Height Data
1) Create a scatter plot for the data where you let x = footlength (in centimeters) and y = height (in inches). Copy thescatter plot into your document.
2) Report the linear correlation coefficient for the data. Round to the nearest thousandth.
3) Set up the null and alternative hypotheses for a test ofsignificant linear correlation. Report those hypotheses in yourdocument.
4) Report the t test statistic for the test. Round to thenearest hundredth.
5) Report the p-value for the test for significant linearcorrelation. Report all four decimal places.
6) Determine if there is a significant linear correlationbetween x = foot length and y = height or not. Report your decisionin your document. Use a 5% significance level to make the decisionfor the test.
7) Report the regression equation for the relationship between x= foot length and y = height. Round the numbers in theregression equation to the nearest tenth.
8) Report the best predicted height for an online student whosefoot length is 30 cm. Make sure your prediction is labeledcorrectly.
OSS Foot Length and Height Data 1) Create a scatter plot for the data where you let x = foot length (in centimeters) and
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