Using R Code.

Based on the previous model $($see attachment$)$ create predictions for the amount of evaporation, in mm$,$ for days of the following character:

$$ February $29,2020,$ if this day has a minimum temperature of $13\mathrm{.}8$ degrees and reaches a maximum of $23\mathrm{.}2$ degrees, and has $74\%$ humidity at $9$am$.$

$$ December $25,2020,$ if this day has a minimum temperature of $16\mathrm{.}4$ degrees and reaches a maximum of $31\mathrm{.}9$ degrees, and has $57\%$ humidity at $9$am$.$

$$ January $13,2020,$ if this day has a minimum temperature of $26\mathrm{.}5$ degrees and reaches a maximum of $44\mathrm{.}3$ degrees, and has $35\%$ humidity at $9$am$.$

$$ July $6,2020,$ if this day has a minimum temperature of $6\mathrm{.}8$ degrees and reaches a maximum of $10\mathrm{.}6$ degrees, and has $76\%$ humidity at $9$am$.$

Provide a table containing appropriate intervals for making forecasts on these particular days, and explain the intervals in context. Compare and contrast potential amounts of evaporation on different

days.

If there is more than $10$mm of evaporation at a Reservoir, then temporary measures should be taken to ensure a continuous supply of water, including transferring water from its Reservoir upstream:

$$ For which of the predicted days can we say with $95\%$ confidence that this will occur?

$$ For which of the predicted days can we say with $95\%$ confidence that this will not occur?