Adjusted r2 5.99 %
F value 9.61
p-value 0.00
Oral Com = 21.36 - 1.194 Dissatisfaction with one’s linguistic skills
Faith Lanie Quirante Lumayag I'm not sure I understand the question. Specifically what is meant by "negatively significant"? R-squared reflects the proportion of covariance among predictors and the outcome variable. Adjusted R-squared includes an adjustment that accounts for the number of predictors (k) in the model such that:
R2adj = 1 - [(1 - R2)(n - 1)/(n - k - 1)]
where n is the number of observations in the data set
k is the number of independent variables in your model (excluding the constant)
Generally speaking, one only uses adjusted R-square if there is more than 1 predictor. In this case, the independent variable(s) accounts for 5.99% of the variance in the dependent variable.
https://statisticsbyjim.com/regression/interpret-adjusted-r-squared-predicted-r-squared-regression/
It is good that you carefully review the data matrix.
Also, try to understand carefully which are the dependent and possibly independent variables that you are interested in analyzing.
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