Login of Open the normal table (opens in a new window) and use it to answer the following questions. 1. As the z-scores go up in value, from -3.49 to 3.49, what do you notice about the about the areas? The areas get larger as the z-scores increase. 2. What is the area to the left of z = 0? %3D Area = 0.5 3. If the total area under the curve is equal to 1, what is the area to the right of z = 0? Area = (Click to view hint) %3D 4. What is the area to the left of z = –0.25? Area = 5. What is the probability that z is less than -0.25? P(z < -0.25) = (Click to view hint) 6. What is the area to the right of z = -0.25? %3D Area = (Click to view hint) 7. What is the probability that z is greater than -0.25?

Q: Can I get the answer to 6

A: Scatter plot is used to display two numerical variable. It used to understand whether there is any…

Q: what is 1+1

A: If we consider normal addition for "+" operation then,  1 +  1 = 2

Q: I would like to ask why you subtracted 3-3 for question a should be 0?

A: From given data we have : mean μ=3Standard deviarion σ =2

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.