Answer:
c. lobes
Explanation:
Brain lobes are divisions of the cerebral hemispheres, designated by the names of the surrounding cranial bones and covering them. The frontal lobe is located in the forehead region; the occipital lobe in the nape region; the parietal lobe in the upper central part of the head; and the temporal lobes in the lateral regions of the head above the ears.
Parietal, temporal and occipital lobes are involved in producing the perceptions resulting from what our sensory organs detect in the outer environment and the information they provide about the position and relationship to outer objects of different parts of our body.
Pandas only blink sometimes because they are looking out for danger most of the time. Like other mammals, they have an upper and lower eyelid, so yes they do blink, but not as much as humans.
They have different genes.
Look it up if you are stressing.
Answer:
X is the concentration of the substance being measured and Y is the response from the instrument that is being used to measure
Explanation:
A calibration curve is the plot of known concentration of substances where x is the increasing known concentration and Y is the response, typically "absorption" taken from the instrument that is used for measuring. This curve is then used to find out the concentration of the unknown substance by using it's absorbance and comparing it with the calibration curve. For example:
Concentrations and absorbance readings are as follows
0.5mg/mL=10 nm
1.0mg/mL=15nm
1.5mg/mL=20nm
2.0mg/mL=25nm
This data is plotted on a calibration curve. Next we measure the unknown substance the absorption is 20nm. We can suggest that the concentration is 1.5 mg/mL. If there are readings that fall inbetwen values then the formulat to calculate the right concentration would be y = mx + b, where m is the slope and b is the y-intercept.
Linear regression uses the modification of the slope formula y= a + bx to best see how the data of the water samples would fit on the slope of the calibration curve. X is the independent variable , b is the slope of the line and a is the y-intercept.
Extrapolation would be the action of calculating data that are outside the calibration curve, assuming the trend would continue.
