Q: Suppose the scatterplot of log y on x produces a correlation close to 1 then will the difference between consecutive values of y for equal x-intervals be approximately constant?

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Positive correlation has a positive slope and negative correlation has a negative slope.

by all means of

The first two consecutive prime numbers that have a difference of 20 are the numbers 887 and 907.

GJVG

The difference between multicollinearity and auto correlation is that multicollinearity is a linear relationship between 2 or more explanatory variables in a multiple regression while while auto-correlation is a type of correlation between values of a process at different points in time, as a function of the two times or of the time difference.

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correlation is a difference in statistics

Positive correlation has a positive slope and negative correlation has a negative slope.

by all means of

The first two consecutive prime numbers that have a difference of 20 are the numbers 887 and 907.

GJVG

The difference between multicollinearity and auto correlation is that multicollinearity is a linear relationship between 2 or more explanatory variables in a multiple regression while while auto-correlation is a type of correlation between values of a process at different points in time, as a function of the two times or of the time difference.

Consecutive numbers are whole numbers whose difference is 1.

There is no difference, only your outcome. The formula for both is x+2

The difference of two consecutive odd numbers is always two. Whether it is before 235 or after is irrelevant.

correlation is used when there is metric data and chi square is used when there is categorized data. sayan chakrabortty

If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.

they are the same. +1.00 and -1.00 are the strongest correlations. If you have +.92 and -.92 then that's a strong correlation but if you have -.15 and +.15 then that would be a weak correlation. There for + 1 or - 1 makes no difference