Help I dont understand this Identify any transformations that are used in each image below.
Some images may have multiple answers so make sure to include them all.

-Reflections - how many lines of symmetry and what specific type: vertical (y-axis), horizontal (x-axis), diagonal (y=x or y=-x)
-Rotations - of which order or how many degrees/angle of rotation

a. Reflectional symmetry only. The mirror line is vertical along the center of the sunglasses. The left half mirrors over this line to get the right half, and vice versa. There isn't any rotational symmetry because we can't rotate the glasses (some angle between 0 and 360 exclusive of both endpoints) to have the image be the same as the preimage.

b. Rotational symmetry only. The puzzle can be rotated 90 degrees and the before and after image will be the exact same. There isn't any reflectional symmetry here.

c. Reflectional symmetry and rotational symmetry. Effectively a combination of parts a) and b). We have a horizontal line of symmetry to go with a vertical one. The angle of rotation is 180 degrees.

d. Reflectional symmetry and rotational symmetry.  Similar to part c). This time the angle of rotation is 360/3 = 120 degrees. There are 3 lines of symmetry and they all pass through a vertex of the triangle, and the symmetry lines are perpendicular to the opposite side.

e. Reflectional symmetry and rotational symmetry. We can rotate 180 degrees and not change the image. There are two lines of symmetry which pass through the center, one line is horizontal and the other vertical.

f. Rotational symmetry only. We don't have reflectional symmetry due to the smaller petals not matching up when reflections happen. But we can rotate the figure 120 degrees the same way we can with figure d.

We can not state the exact probability that y will fall between 195 and 205

Step-by-step explanation:

* Lets explain how to solve the problem

- Regression model applies with f(30) = 100 and f(31) = 20

- The variance = 25

- An observation on y will be made for x = 5

- Suppose that the regression model is

∵

∵

∵ x = 5

∴ Y = 100 + 20(5) = 100 + 100 = 200

∴ Y = 200

- But the regression model is without error term

∵ We do not know the probability distribution of y for each value

  of x we only know the value of y at one value of x

∵ We know that the mean of distribution is 100 + 20x

∵ We know the variance of distribution is 25

∵ We don not know the shape of the distribution

- We can not  find the exact value of probability of y without the

  Normal error and the regression model must be

  to know that it has a normal distribution

∴ We can not calculate the exact value of probability of y

∴ We can not state the exact probability that y will fall between 195

  and 205