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RSS
Residual Sum of Squares- used to measure the total squared differences between observed values and predicted values
df
Degrees of Freedom- Used to test hypothesis (n-1)
t
t-value- Used to determine if observed differences are due to random chance or if they’re statistically significant
C.V.
Coefficient of Variation- Compares the degree of variation between different data sets
n
Sample Size- how many individual values are in one dataset
𝑥̄
Sample Mean- Represents the average value of a sample, calculated by summing all observed values and dividing by the sample size
r²
Coefficient of Determination- used to asses the strength of a relationship between variables
TSS
Total Sum of Squares- Measures total variation in the dependent variable
Sₓ̄
Standard Error of the Mean- Estimates how much sample mean is likely to vary from the true population mean
N
Population size- the total number of observations/ data points in a population
Sx
Standard Deviation- measures the spread/dispersion of a set of data points in a sample
CI
confidence interval- says how precise the sample estimate is
SEE
Standard error of estimate- measures accuracy of predictions made by a regression model