I see you have time as your independent variable (x) and that's typically true. Your error margins are quite large, I'm not sure if that's acceptable, but you go with what you got (otherwise, play around with your results until they look presentable
after all, it is undergrad.). Remove those things in your legend that say (linear blah blah, the bottom three; they should be in your legend). On your y-axis label, make sure you include "Concentation of Substrate", if that's what it is.
What were the main trends or patterns in your data?
Pretty much as time increases, substrate concentrations decreases because the substrates are binding to the enzyme, thereby decreasing the concentration of free substrate in the medium.
What was your null hypothesis? be specific
What was your alternative hypothesis? be specific
Finally, these two depend on what test you used (i.e. Pearson's, ANOVA).
A null hypothesis is a hypothesis set up to be nullified or refuted in order to support an alternative hypothesis. When used, the null hypothesis is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. Usually the alternate hypothesis is the possibility that an observed effect is genuine. We denote the null hypothesis as H0 and the alternative hypothesis as Ha or H1 .The final conclusion once the
test has been carried out is always given in terms of the null hypothesis. We either “reject H0 in favour of H1 ” or “do not reject H0 ”; we never conclude “reject H1 ”, or even “accept H1 ”.
Null Hypothesis ( H0 )If the original claim includes one of (≤,=,≥), it is the null hypothesis. If the original claim does not include one of
(≤,=,≥) then the null hypothesis is the complement of the original claim. The null hypothesis always includes the
equal sign.
Alternative Hypothesis ( H1 or Ha )Statement which is true if the null hypothesis is false. The type of test (left, right, or two-tail) is based on the
alternative hypothesis which will include one of (<,≠,>).
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