The relationship between density and temperature is linear. In a thermal expansion, density will decrease and temperature increases and vice versa.
A graph of Charles' Law shows the relationship between Volume vs. Temperature. Volume is placed on the y axis and temperature on the x axis. The relationship is linear if temperature is in units of Kelvin.
If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.
It is linear.
You can create a scatter plot of the two variables. This may tell you if there is a relationship and, if so, whether or not it is linear. If there seems to be a linear relationship, you can carry out a linear regression. Note that the absence of a linear relationship does not mean that there is no relationship. The coordinates of the points on a circle do not show a linear relationship: the correlation coefficient is zero but there is a perfect and simple relationship between the abscissa and the ordinate. Even if there is evidence of a linear relationship, it may be valid only within the range of observations: do not extrapolate. For example, the increase in temperature of a body is linearly related to the amount of heat energy aded. However, for a solid, there will come a stage when the additional heat will not increase the temperature but will be used to melt (or sublimate) the solid. So the linear relationship will be broken.
decreases
A graph of Charles' Law shows the relationship between Volume vs. Temperature. Volume is placed on the y axis and temperature on the x axis. The relationship is linear if temperature is in units of Kelvin.
If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.
It is linear.
Because volume (mL) is multiplied by density (g/mL) to obtain mass (g). Since the formula for density does not contain (mL) raised or reduced to any power, the relationship between volume and mass (we call the relaitonship density) is linear.
they are two truly different concepts. The density is a measurement of the molecular weight of the composition. In simpler words, density = number of molecules x molecular weight/volume occupied, while the viscosity is a measurement of the inter-molecular forces and molecule shapes. Viscosity tells you the "friction" between two layers of the given fluid, while density varies slightly with temperature, viscosity changes rapidly. Both density and viscosity decreases with temperature, but viscosity mostly has an exponential relationship with temperature. Density holds a linear relationship. This temperature viscosity relationship is the base of the auto lubricant technology. Viscosity and density are two different physical phenomena depending on totally different aspects. The common misconception of "heavier fluids are more viscos" is to be omitted.
You can create a scatter plot of the two variables. This may tell you if there is a relationship and, if so, whether or not it is linear. If there seems to be a linear relationship, you can carry out a linear regression. Note that the absence of a linear relationship does not mean that there is no relationship. The coordinates of the points on a circle do not show a linear relationship: the correlation coefficient is zero but there is a perfect and simple relationship between the abscissa and the ordinate. Even if there is evidence of a linear relationship, it may be valid only within the range of observations: do not extrapolate. For example, the increase in temperature of a body is linearly related to the amount of heat energy aded. However, for a solid, there will come a stage when the additional heat will not increase the temperature but will be used to melt (or sublimate) the solid. So the linear relationship will be broken.
decreases
By definition, if you graph the relationship between two variables and the result is a straight line (of whatever slope) that is a linear relationship. If it is a curve, rather than a straight line, then it is not linear.
Regression :The average Linear or Non linear relationship between Variables.
It means that here is no linear relationship between the two variables. There may be a perfect non-linear relationship, though.
It means that here is no linear relationship between the two variables. There may be a perfect non-linear relationship, though.
Linear expansivity is the increase in length per unit length per degree rise in temperature. While cubic expansivity is the increase in volume per unit in volume per degree rise in temperature.