# simple linear regression

1. ### P-value of intercept = 0 meaning? Can age be independent var in simple regression?

Hi I recently got into statistics... I am not too sure if this is the correct place to ask, I have included pictures as well Can I test "age of used vehicle" as independent variable against "selling price" as dependent variable in a simple linear regression? Is my residual plot as shown weird...
2. ### Mean of the residuals in Simple Linear Regression *Beginner Alert*

Hey guys, First of all, I would like to apologize for the question I'm gonna ask regarding the fact, that I am absolute beginner in statistics. Currently I'm trying to test some hypotheses in Rstudio using Simple Linear Regression, as I am aware that before interpreting results of my model I...
3. ### Post-Hoc Power Analysis (G*Power) for simple linear regression

Hey everyone! I conducted a simple linear regression with non-significant results. Now I would like to analyze the power of this calculation using G*Power. I chose the option "F-tests - Linear multiple regression, fixedmodel, R(2) deviation from zero and entered 1 as my numer of predictors...
4. ### Simple linear regression

I want to plot the regression line y' = 51.923 + 0.557x on a scatter plot manually. The variable x represents the number of reservations and the variable y represents the number of meal served in an exclusive restaurant that accepts reservations. (my teacher want us to round the values of the...
5. ### Predicted standard deviation with simple linear regression

Hey, I am working on a prediction of wind speed. I'm using two datasets, one with 10 years of data, one with 1 year. I perform a simple linear regression for the dataset for the corresponding year. After I found the slope and offset i use the long dataset to make a prediction. The prediction...
6. ### Simple Linear Regression Coefficient Estimation Across n Samples

Hello, I was hoping that somebody could provide some assistance on the following topic: Consider a random variable Y with mean: y = \alpha + \beta x and variance \sigma^{2}. Assume n independent values of Y are observed and are split into two samples such that the samples can be labelled...