It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
It means you cannot decide that. In context, it could mean that you don't have the authority to make a certain decision, or it could mean that you don't have enough information. It could mean that you do not have the skills or resources to make the decision, or perhaps that you are biased in one way or another and cannot determine, in a disinterested fashion, what the outcome should be.
In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.
It simply means 'estimated'. It's used when a specific date cannot be accurately determined. Sometimes the word 'circa' is used The word 'circa' is Latin for 'about'. If the date also includes a time, then EST can stand for Eastern Standard Time.
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
It's not quite possible for the coefficient of determination to be negative at all, because of its definition as r2 (coefficient of correlation squared). The coefficient of determination is useful since tells us how accurate the regression line's predictions will be but it cannot tell us which direction the line is going since it will always be a positive quantity even if the correlation is negative. On the other hand, r (the coefficient of correlation) gives the strength and direction of the correlation but says nothing about the regression line equation. Both r and r2 are found similarly but they are typically used to tell us different things.
No, it cannot be a correlation coefficient.
Julian Hochstein-Mintzel's feelings of love are specific to his personal relationships and cannot be determined without further information.
The quadratic formula cannot be used to solve an equation if the coefficient of the equation's x2-term is 0.
No, intelligence is not determined by gender or familial relationships. Each person is unique and their intelligence cannot be generalized based on their family members.
The quadratic formula cannot be used to solve an equation if the coefficient of the equation x square term is what?
A correlation coefficient cannot exceed 1.
cannot be determined
cannot be determined
It is a serious error. The Pearson coefficient cannot be larger than 1 so a value of 64 is clearly a very big error.
cannot be determined
Cannot be determined.