False. Correlation coefficient as denoted by r, ranges from -1 to 1. Coefficient of determination, or r squared ranges from 0 to 1. I note that x,y data points that have a high negative correlation would plot with a negative trend or a negatively sloped line if a best fit regression line is determined. I note also that x,y data points with a high positive correlation would plot with a positive trend or positively sloped line if a best fit regression line is determined. The coefficient of determination for r = 0.9 and r= -0.9 would be 0.81.
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
Yes
correlation * * * * * Only if the relationship is linear. For example, the correlataion between y and x when y = x2 is zero. But a very strong relationship between the two variables.
x axis: age of retirement y axis: number of people By Mr. Hsia @MDHS
co-related to or co- related with
if two variables are positively related,it means that the two variables change in the same direction.that is,if the value of one of the variables increases,the value of the other variable too will increase.for example,if employment as an economic variable increases in a country,and price of goods too increases then we can say that these two variables(employment and price) are positively related
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
In practical life , it is not possible to identify the negative and positive charges.The positive and negative charges are identified only experimentally.So, practical example of this is not possible.But I can tell that a negatively charged object and positively charged object attract each other.for A+ lost electrons
Velocity and distance of an accelerating object would be one example.
I would say, bacteria is positively charged. i suspected it was positively charged also may be, however; if it were to be negatively charged, could it still adsorb through a reversal process to a negative surface (clay for example?)
Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.
An example of unlike charges is a positively charged proton and a negatively charged electron in an atom. These charges attract each other due to their difference in charge.
Protons because a proton is positivelycharged & the electrons of negatively charged.
Solute molecules can be positively charged, negatively charged, or neutral. For example, dissolving sodium chloride in water produces positively charged sodium cations and negatively charged chloride anions. Dissolving sucrose (table sugar) in water produces only dissolved neutral sucrose molecules.
In practical life , it is not possible to identify the negative and positive charges.The positive and negative charges are identified only experimentally.So, practical example of this is not possible.But I can tell that a negatively charged object and positively charged object attract each other.for A+ lost electrons
The oxygen atom, which is negatively charged, is on one end ("pole") of the molecule, and the hydrogen atoms, which are positively charged, are on the other pole.