QUESTION II The fashion brand Luis Buittou's iconic product is its ochre scarf. It has also been selling many of its camel shawls, a variant of the ochre scarf. You are in charge of studying the monthly sales of the ochre scarves and the camel shawl for Luis Buittou in the Boston shops. You collect data points X1, Y1,-, Y for the camel shawls, that represent the number of each product sold each month over the past 10 years. The average number of scarves sold per month is X = Ait = 77. The standard deviation is ox= 12. X3 for the ochre scarves and ... %3D %3D The average mumber of shawls sold per month is Y= =80. The standard deviation is also oy = 12. The marketing analyst saggest switching entirely to the camel shawls as it sells better, even though the switch entails some restructuring cost. %3D %3D . (a) You decide to test the claim "the mean value of camel shawls sold per month is larger than the mean value of ochre scarfs sold per month" at 95% confidence level. How do you go about testing this claim? What is your conclusion? (b) In order to have more trust in your conclusion, your manager asks you to test the same claim at 96%, 97%, 95% and 99% confidence levels. What is your respotse to this suggestion? Let X be the mumber of the scarves sold in one month. X is assumed to follow a normal distribution with menn 77 and standard deviation 12. (c) What is the peobability that X is at least 107.
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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