A business owner claims that the proportion of take out orders is greater than 25%. To test this claim, the owner checks the next 250 orders and determines that 60 orders are take out orders. The following is the setup for this hypothesis test: Ha:p>0.25 Find the p-value for this hypothesis test for a proportion and round your answer to 3 decimal places. The following table can be utilized which provides areas under the Standard Normal Curve: 0.00 0.7 0.242 0.60.274 0.5 0.309 0.4 0.345 -0.3 0.382 0.2 0.421 0.01 0.239 0.271 0.305 0.341 0.378 0.417 0.02 0.236 0.268 0.302 0.337 0.374 0.413 0.04 0.230 0.264 0.261 0.295 0.330 0.367 0.405 0.07 0.221 0.251 0.284 0.319 0.357 0.394 0.08 0.218 0.248 0.281 0.316 0.352 0.390 0.09 0.215 0.245 0.278 0.312 0.348 0.386 0.03 0.05 0.227 0.258 0.291 0.326 0.323 0.363 0.401 0.06 0.224 0.255 0.288 0.233 0.298 0.334 0.371 0.409 0.359 0.397
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.
P-Value=
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