Q: Is there a negative correlation between the need for thiamine and amount of fat in the diet?

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Correlation is a measure of the degree of agreement in the changes (variances) in two or more variables. In the case of two variables, if one of them increases by the same amount for a unit increase in the other, then the correlation coefficient is +1. If one of them decreases by the same amount for a unit increase in the other, then the correlation coefficient is -1. Lesser agreement results in an intermediate value. Regression involves estimating or quantifying this relationship. It is very important to remember that correlation and regression measure only the linear relationship between variables. A symmetrical relationshup, for example, y = x2 between values of x with equal magnitudes (-a < x < a), has a correlation coefficient of 0, and the regression line will be a horizontal line. Also, a relationship found using correlation or regression need not be causal.

the age of adults and the amount of sleep they get (:

Negative correlation, for two reasons. 1. People do not like to live in very cold places (think of the population near the Poles). 2. Population centres are hot spots due to man-made structures and activities. Buildings and roads absorb and retain heat more than nature. This micro-climate results in less snowfall (it melts before settling).

There isn't any correlation between gathering wealth and IQ. Many factors are involved on becoming rich and keeping themselves rich. If it was true, IQ and wealth involved, rich men would not lose their wealth never. Desire of success and power leads many persons with a medium IQ to become rich.

Adding a negative amount is equivalent to subtracting a positive amount.

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negative correlation

This relationship is called the correlation between the amount of drivers education students have and the number of accidents they have. A positive correlation indicates that more education leads to fewer accidents, while a negative correlation would suggest the opposite.

A Pearson correlation measures the strength and direction of a linear relationship between two continuous variables, ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation). An example could be studying the correlation between the amount of rainfall and crop yield in agricultural research to understand how variations in rainfall affect crop productivity.

Positive Correlation- Age - Amount of medical conditions Negative Correlation- Television Watching- Grades No Correlation- Height of a person- Number of shoes they own Hope this was helpful!

A negative correlation occurs when, as one variable increases, the other variable decreases. Some variables that might have a negative correlation would be: indoor heating use and temperature outside. As the temperature outside decreases, the amount of heating used will increase.

Yes

Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.

The amount of Vitamin B1 or Thiamine in one cup of Strawberry with skin is about 0.04 milligrams.

what kind of correlation would you expect to find between a city's annual and the size of its population

Yes

There is a negative correlation between precipitation rate and atmospheric pressure. As atmospheric pressure decreases, it usually indicates a low-pressure system approaching, which can lead to rising air and ultimately increased chances of precipitation. Conversely, higher atmospheric pressure tends to be associated with clearer skies and lower chances of precipitation.

You can get an adequate amount of thiamine by eating foods like beef liver, pork, eggs, nuts, and legumes. Thiamine is vitamin B1 and is needed by the brain and nervous system. Supplementation can also help a person get the adequate amount of this vitamin.