Weight loss, if done correctly with a healthy diet and moderate exercise, can actually increase your energy levels. However, crash diets or overexercise can make you feel tired and weak.
Dieting to lose weight is the most common form of dieting, and involves reducing one's daily energy intake (kcal or kjoules) below the level of one's daily energy expenditures for extended periods of time.
because it increases your energy level which increases your heart rate and metabolism and it can result in weight loss
difference between business level strategy and corporate level strategy?
The correlation between precipitation rate and level of atmospheric pressure is very apparent. As atmospheric pressure decreases, the amount and intensity of precipitation increases.
No, it is an integer number. Correlations happen among various different things. A non-zero correlation means that the things interact or depend on each other. A zero correlation means they don't. Examples: There is a positive correlation between how much you eat and how much you weigh. There is a zero correlation between the color of your car and its gas mileage. There is a positive correlation between how far the volume control is turned up and the sound pressure level that you hear. There is a negative correlation between the air temperature and the sales of sweaters.
Strong and positive
Strong and positive
It is very unlikely that there's a correlation between foot size and literacy comprehension.
There is no correlation whatsoever between formal education and patent approval.
all the elements in period 1 have one energy level, all the elements in period 2 have two energy levels, all the elements in period 3 have 3 energy levels... and so on
The energy increase near the nucleus.
It depends on whether she is pregnant or not and the quality (as in the protein and energy level) of the feed available. Basically it can be between 2% and 3% of her body weight.
It is a measure of the strength of a linear relationship between one dependent variable and one or more explanatory variables.It is very important to recognise that a high level of correlation does not imply causation. Also, it does not provide information on non-linear relationships.
age, gender, avtivity level and weight.