can you help me develop a linear regression model to forecast revenue. Use all the provided variables.

I need to know how to set it up in excel too.

Month	Sales_quantity	Average_cost	employees	Revenue
Jan-18	12729	1257.763541	30024676	16010072.1
Feb-18	11636	1358.507	30024676	15807587.4
Mar-18	15922	1384.697024	30024676	22047146
Apr-18	15227	1235.606705	30024676	18814583.3
May-18	8620	1626.621765	30024676	14021479.6
Jun-18	13160	1275.374508	30024676	16783928.5
Jul-18	17254	1110.576805	30024676	19161892.2
Aug-18	8642	1759.42887	30024676	15204984.3
Sep-18	16144	1276.259909	30024676	20603940
Oct-18	18135	1157.588904	30024676	20992874.8
Nov-18	10841	1383.024597	30024676	14993369.7
Dec-18	22113	1256.808558	30024676	27791807.6
Jan-19	15365	1861.476505	27828571	28601586.5
Feb-19	13153	1700.530226	27828571	22367074.1
Mar-19	18339	1621.604699	27828571	29738608.6
Apr-19	13909	2038.321083	27828571	28351007.9
May-19	8553	1784.707557	27828571	15264603.7
Jun-19	15101	1614.837301	27828571	24385658.1
Jul-19	15695	1878.720425	27828571	29486517.1
Aug-19	8314	1836.675157	27828571	15270117.3
Sep-19	17764	2034.509545	27828571	36141027.6
Oct-19	18969	1471.61915	27828571	27915143.7
Nov-19	13433	1583.566541	27828571	21272049.3
Dec-19	27029	1554.410444	27828571	42014159.9
Jan-20	16889	2132.001934	27406473	36007380.7
Feb-20	15864	1916.085185	27406473	30396775.4
Mar-20	22786	2092.43091	27406473	47678130.7
Apr-20	17910	1508.317405	27406473	27013964.7
May-20	10777	2315.008323	27406473	24948844.7
Jun-20	18799	1654.414891	27406473	31101345.5
Jul-20	17899	1891.101303	27406473	33848822.2
Aug-20	9649	1705.323552	27406473	16454667
Sep-20	20159	1570.02295	27406473	31650092.7
Oct-20	19519	1617.511431	27406473	31572205.6
Nov-20	15360	1461.35228	27406473	22446371
Dec-20	30833	1458.376602	27406473	44966125.8
Jan-21	19812	2224.284315	28197847	44067520.9
Feb-21	18424	1955.074205	28197847	36020287.2
Mar-21	29004	1620.3279	28197847	46995990.4
Apr-21	22033	1612.875581	28197847	35536487.7
May-21	14959	1985.400039	28197847	29699599.2
Jun-21	23067	1441.932865	28197847	33261065.4
Jul-21	18397	1947.411801	28197847	35826534.9
Aug-21	12045	1931.810312	28197847	23268655.2
Sep-21	23358	1516.546359	28197847	35423489.9
Oct-21	22644	1759.033991	28197847	39831565.7
Nov-21	19765	1669.574764	28197847	32999145.2
Dec-21	33207	1422.044394	28197847	47221828.2
Jan-22	24096	1513.112554	29878525	36459960.1
Feb-22	21624	1690.089653	29878525	36546498.7
Mar-22	33379	1623.736682	29878525	54198706.7
Apr-22	22265	1470.648534	29878525	32743989.6
May-22	16967	1917.348827	29878525	32531657.5
Jun-22	24958	1911.599553	29878525	47709701.6
Jul-22	21917	2098.46884	29878525	45992141.6
Aug-22	14431	2559.328184	29878525	36933665
Sep-22	23253	2086.881698	29878525	48526260.1
Oct-22	26603	1659.978806	29878525	44160416.2
Nov-22	21987	1654.384704	29878525	36374956.5
Dec-22	38069	1543.420464	29878525	58756473.7
Jan-23	27184	2070.64085	29044998	56288300.9
Feb-23	23509	1711.057181	29044998	40225243.3
Mar-23	32569	1535.882748	29044998	50022165.2
Apr-23	26615	1965.83479	29044998	52320692.9